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  • 401.
    Wang, Yuquan
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Resolve reactive robot control with perturbed constraints using a second order cone programming approach2017In: 2017 13TH IEEE CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE), IEEE , 2017, p. 124-129Conference paper (Refereed)
    Abstract [en]

    As a modular and reactive control approach, constraint-based programming helps us to formulate and solve complex robotic tasks in a systematic way. In different fields ranging from industrial manipulators to humanoids, robots are supposed to work in an uncertain environment. However, how to address uncertainties is missing in the state-of-the-art of different constraint-based programming frameworks. In this paper, we introduce a Second Order Cone Programming (SOCP) approach to integrate constraints with norm bounded uncertainties. The proposed SOCP is convex and through simulations with controlled uncertainty level, we can clearly tell that the proposed approach guarantees the constraints satisfaction compared to the state-of-the-art.

  • 402.
    Wen, L.
    et al.
    China.
    Gao, L.
    China.
    Li, X.
    China.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Zhu, J.
    China.
    A Jointed Signal Analysis and Convolutional Neural Network Method for Fault Diagnosis2018In: Procedia CIRP, Elsevier, 2018, p. 1084-1087Conference paper (Refereed)
    Abstract [en]

    Fault diagnosis plays a vital role in the modern industry. In this research, a joint vibration signal analysis and deep learning method for fault diagnosis is proposed. The vibration signal analysis is a well-established technique for condition monitoring, and deep learning has shown its potential in fault diagnosis. In the proposed method, the time-frequency technique, named as S transform, is applied to transfer the vibration signals to images, and then an improved convolutional neural network (CNN) is applied to classify these images. The results show the proposed method has achieved the significant improvement.

  • 403. Wu, D.
    et al.
    Rosen, D. W.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Schaefera, D.
    Cloud-based manufacturing: Old wine in new bottles?2014In: Variety management in manufacturing: Proceedings of the 47th cirp conference on manufacturing systems, 2014, p. 94-99Conference paper (Refereed)
    Abstract [en]

    Cloud-based manufacturing (CBM), also referred to as cloud manufacturing, is a form of decentralized and networked manufacturing evolving from other relevant manufacturing systems such as web- and agent-based manufacturing. An ongoing debate on CBM in the research community revolves around several aspects such as definitions, key characteristics, computing architectures, programming models, file systems, operational processes, information and communication models, and new business models pertaining to CBM. One question, in particular, has often been raised: Is cloud-based manufacturing a new paradigm, or is it just old wine in newbottles? Based on the discussion of the key characteristics of CBM, the derivation of requirements that an ideal CBM system should satisfy, and a thorough comparison between CBM and other relevant manufacturing systems, we provide supporting evidence that allows us to conclude that CBM is definitely a new paradigm that will revolutionize manufacturing.

  • 404. Wu, Dazhong
    et al.
    Rosen, David W.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Schaefer, Dirk
    Cloud-based design and manufacturing: A new paradigm in digital manufacturing and design innovation2015In: Computer-Aided Design, ISSN 0010-4485, E-ISSN 1879-2685, Vol. 59, p. 1-14Article in journal (Refereed)
    Abstract [en]

    Cloud-based design manufacturing (CBDM) refers to a service-oriented networked product development model in which service consumers are enabled to configure, select, and utilize customized product realization resources and services ranging from computer-aided engineering software to reconfigurable manufacturing systems. An ongoing debate on CBDM in the research community revolves around several aspects such as definitions, key characteristics, computing architectures, communication and collaboration processes, crowdsourcing processes, information and communication infrastructure, programming models, data storage, and new business models pertaining to CBDM. One question, in particular, has often been raised: is cloud-based design and manufacturing actually a new paradigm, or is it just "old wine in new bottles"? To answer this question, we discuss and compare the existing definitions for CBDM, identify the essential characteristics of CBDM, define a systematic requirements checklist that an idealized CBDM system should satisfy, and compare CBDM to other relevant but more traditional collaborative design and distributed manufacturing systems such as web- and agent-based design and manufacturing systems. To justify the conclusion that CBDM can be considered as a new paradigm that is anticipated to drive digital manufacturing and design innovation, we present the development of a smart delivery drone as an idealized CBDM example scenario and propose a corresponding CBDM system architecture that incorporates CBDM-based design processes, integrated manufacturing services, information and supply chain management in a holistic sense.

  • 405.
    Wu, Dazhong
    et al.
    Univ Cent Florida, Orlando, FL 32816 USA..
    Weiss, Brian A.
    NIST, Gaithersburg, MD 20899 USA..
    Kurfess, Thomas
    Georgia Inst Technol, Atlanta, GA 30332 USA..
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Davis, Jim
    Univ Calif Los Angeles, Los Angeles, CA 90024 USA..
    Introduction to the special issue on smart manufacturing2018In: Journal of manufacturing systems, ISSN 0278-6125, E-ISSN 1878-6642, Vol. 48, p. 1-2Article in journal (Other academic)
  • 406. Xi, F.
    et al.
    Wang, Lihui
    National Research Council of Canada.
    Development of a Remotely Controllable Parallel Robotic End-Effector2004In: Conference on Robotics and Remote Systems- Proceedings, 2004, Vol. 10, p. 346-355Conference paper (Refereed)
    Abstract [en]

    This paper presents the work on the development of a remotely controllable parallel end-effector. This end-effector is designed as a tripod that can be attached to a variety of machines for different applications. A web-based remote monitoring and control system has been developed for this tripod. The main difference of this system from the existing web-based or internet-based remote systems is the way to view the motion of the machine from a remote site. Instead of using a camera for monitoring, the tripod is modeled using Java 3D with behavioral control nodes embedded. Compared with the camera-based solution, network traffic is largely reduced, thereby making real-time monitoring and control practical on the web. Once downloaded from its server, the 3D model at client-side behaves in the same way as the counterpart. It remains alive by connecting to the tripod through message passing, e.g. sensor signals and control commands transmissions.

  • 407. Xia, K.
    et al.
    Gao, L.
    Li, W.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Chao, K. -M
    A Q-learning based selective disassembly planning service in the cloud based remanufacturing system for WEEE2014In: ASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference, ASME Press, 2014Conference paper (Refereed)
    Abstract [en]

    Cloud based approach for remanufacturing is becoming a new technical solution for sustainable management of Waste Electrical and Electronic Equipment (WEEE). This paper presents a service-oriented framework of a Cloud Based Remanufacturing System (CBRS) for WEEE. In remanufacturing of WEEE, disassembly plays an important role. However, complete disassembly is rarely an ideal solution due to the high disassembly cost, with the increasing customization and diversity, and more complex assembly processes of Electrical and Electronic Equipment (EEE). Selective disassembly focusing on disassembling only a few selected components is a better choice. In this paper, a Q-Learning based Selective Disassembly Planning (QL-SDP) approach embedded with a multi-criteria decision making model is developed. The multi-criteria decision making model is built according to the legislative and economic considerations of specific stakeholders of WEEE. And the QLSDP approach is used to achieve optimized selective disassembly planning. An implementation example has been used to verify and demonstrate the effectiveness and robustness of the approach. The developed QL-SDP approach is designed as a service implemented in the presented CBRS for WEEE.

  • 408. Xia, K.
    et al.
    Gao, L.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Li, W.
    Chao, K. -M
    A Semantic Information Services Framework for Sustainable WEEE Management Toward Cloud-Based Remanufacturing2015In: Journal of manufacturing science and engineering, ISSN 1087-1357, E-ISSN 1528-8935, Vol. 137, no 6, article id 061011Article in journal (Refereed)
    Abstract [en]

    Sustainable management of waste electrical and electronic equipment (WEEE) has attracted escalating concerns of researchers and industries. Closer information linking among the participants in the products's lifecycle should take place. How to interoperate among the distributed and heterogeneous information systems of various participants is a challenge faced. Targeting the cloud-based remanufacturing, this article aims to develop a semantic information services framework for sustainable WEEE management. In the proposed framework, an ontology based approach is developed to integrate and represent the lifecycle information from multiple local data sources within an information services provider. Meanwhile, a semantic information services management platform is introduced for the advertisement, matchmaking and retrieval of semantic information services. Some relevant techniques used to build the framework are introduced extensively. A demonstration case study on waste LCD TV is used to illustrate the effectiveness and significance of the proposed framework.

  • 409. Xia, K.
    et al.
    Gao, L.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Li, W.
    Chao, K.-M.
    A simplified teaching-learning-based optimization algorithm for disassembly sequence planning2013In: Proceedings - 2013 IEEE 10th International Conference on e-Business Engineering, ICEBE 2013, IEEE , 2013, p. 393-398Conference paper (Refereed)
    Abstract [en]

    Disassembly plays an important role in recovery and remanufacturing of Waste Electrical and Electronic Equipment (WEEE). A novel Simplified Teaching-Learning-Based Optimization (STLBO) algorithm is proposed for optimization of Disassembly Sequence Planning (DSP). The proposed STLBO is on the basis of a teaching-learning-based optimization method which is a new population based meta-heuristic algorithms. In the proposed STLBO algorithm, three operators are designed namely Feasible Solution Generator (FSG), Teacher Phase Operator (TPO) and Learner Phase Operator (LPO). The proposed algorithm is successfully tested against previous best known solutions for a set of public benchmarks.

  • 410. Xia, K.
    et al.
    Gao, L.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Li, W.
    Li, X.
    Ijomah, W.
    Service-oriented disassembly sequence planning for electrical and electronic equipment waste2016In: Electronic Commerce Research and Applications, ISSN 1567-4223, E-ISSN 1873-7846, Vol. 20, p. 59-68Article in journal (Refereed)
    Abstract [en]

    Disassembly sequence planning plays an important role in the end-of-life treatment of electrical and electronic equipment waste (e-waste). Effective planning methods can improve recovery rates and reduce environmental impacts of e-waste. In previous work, neither mathematical models nor optimization algorithms offered a satisfactory solution for this multi-objective disassembly problem. We present a multi-objective model for the problem and a modified teaching-learning-based optimization (MTLBO) algorithm to find the Pareto-optimal frontier. We use numerical simulations to demonstrate and verify the effectiveness and robustness of the algorithm. To do effective disassembly planning, all the participants in the lifecycle of e-waste should work together. Disassembly and recovery of e-waste involve complex processes across the lifecycle. Information support services, disassembly modeling and optimization services must be integrated using computer networks. We also propose a service-oriented framework to support business integration for the participants in the e-waste lifecycle. Effective and optimized disassembly planning can be achieved by invoking the related distributed services. The proposed framework is a novel e-business application for the end-of-life treatment of e-waste. © 2016 Elsevier B.V.

  • 411. Xia, Kai
    et al.
    Gao, Liang
    Chao, Kuo-Ming
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    A Cloud-based Disassembly Planning Approach towards Sustainable Management of WEEE2015In: 2015 IEEE 12TH INTERNATIONAL CONFERENCE ON E-BUSINESS ENGINEERING (ICEBE), IEEE , 2015, p. 203-208Conference paper (Refereed)
    Abstract [en]

    Waste Electrical and Electronic Equipment (WEEE) is becoming an important and challenging waste stream in terms of quantity and toxicity. Developing technical solutions for sustainable management of WEEE is becoming a global trend. Disassembly planning plays an important role in End-of-Life treatment of WEEE. Effective disassembly planning can improve the recovery rate and reduce the environmental impact of WEEE significantly. Targeting sustainable WEEE management, this paper aims to propose a cloud-based approach for disassembly planning. The approach provides a comprehensive and standardized service-oriented environment for distributed information sharing, disassembly modeling, evaluation and optimization.

  • 412. Xu, Xun
    et al.
    Rong, K.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. University of Skövde.
    Distributed and Collaborative Manufacturing for the 21st Century2010In: International Journal of Manufacturing Research, ISSN 1750-0591, Vol. 5, no 1, p. 1-4Article in journal (Refereed)
  • 413. Xu, Xun
    et al.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. University of Skövde.
    Newman, Stephen T.
    Computer-Aided Process Planning − A Critical Review of Recent Developments and Future Trends2011In: International journal of computer integrated manufacturing (Print), ISSN 0951-192X, E-ISSN 1362-3052, Vol. 24, no 1, p. 1-31Article in journal (Refereed)
    Abstract [en]

    For the past three decades, computer-aided process planning (CAPP) has attracted a large amount of research interest. A huge volume of literature has been published on this subject. Today, CAPP research faces new challenges owing to the dynamic markets and business globalisation. Thus, there is an urgent need to ascertain the current status and identify future trends of CAPP. Covering articles published on the subjects of CAPP in the past 10 years or so, this article aims to provide an up-to-date review of the CAPP research works, a critical analysis of journals that publish CAPP research works, and an understanding of the future direction in the field. First, general information is provided on CAPP. The past reviews are summarised. Discussions about the recent CAPP research are presented in a number of categories, i.e. feature-based technologies, knowledge-based systems, artificial neural networks, genetic algorithms, fuzzy set theory and fuzzy logic, Petri nets, agent-based technology, Internet-based technology, STEP-compliant CAPP and other emerging technologies. Research on some specific aspects of CAPP is also provided. Discussions and analysis of the methods are then presented based on the data gathered from the Elsevier's Scopus abstract and citation database. The concepts of ‘Subject Strength’ of a journal and ‘technology impact factor’ are introduced and used for discussions based on the publication data. The former is used to gauge the level of focus of a journal on a particular research subject/domain, whereas the latter is used to assess the level of impact of a particular technology, in terms of citation counts. Finally, a discussion on the future development is presented.

  • 414. Xu, X.W.
    et al.
    Wang, Lihui
    National Research Council of Canada .
    Rong, Yiming
    Emerging Technologies for Interoperable CNC2005In: Proceedings of the 18th International Conference on Production Research, 2005Conference paper (Refereed)
  • 415. Xu, X.W.
    et al.
    Wang, Lihui
    Integrated Manufacturing Technologies Institute, London, UK.
    Rong, Yiming
    STEP-NC and function blocks for interoperable manufacturing2006In: IEEE Transactions on Automation Science and Engineering, ISSN 1545-5955, E-ISSN 1558-3783, Vol. 3, no 3, p. 297-308Article in journal (Refereed)
  • 416. Xu, Y.
    et al.
    Korba, L.
    Wang, Lihui
    Integrated Manufacturing Technology Institute, National Research Council Canada.
    Hao, Qi
    Shen, Weiming
    Lang, Sherman Y. T.
    A Security Framework for Collaborative Distributed System Control at the Device-Level2003In: INDIN 2003: Ieee International Conference on Industrial Informatics, Proceedings, Institute of Electrical and Electronics Engineers (IEEE), 2003, Vol. 2003, p. 192-198Conference paper (Refereed)
    Abstract [en]

    In today's globalized business world, outsourcing, joint ventures, and cross-border collaborations have led to work environments that are geographically distributed across organizational and national boundaries. There are critical research needs to develop highly secured collaborative work environments and security solutions for deployment, configuration, monitoring, and device control of interoperating services. We present a well-shaped security framework for distributed system control with a focus on device-level system control, monitoring and services reconfiguration in open and dynamic environments. The characteristics of portability, reconfigurability, interoperability, and interchangeability of these new environments are considered as key factors to produce new security risks and challenges. By adopting public key cryptography, software agent and XML binding technologies, the major security problems of authenticity, integrity, confidentiality, and safe execution are addressed in this framework. The core modules for secure task delivery and execution are presented in detail.

  • 417. Xu, Yuefei
    et al.
    Song, Ronggong
    Korba, Larry
    Wang, Lihui
    Integrated Manufacturing Technologies Institute, National Research Council Canada,.
    Shen, Weiming
    Lang, Sherman
    Distributed Device Networks With Security Constraints2005In: IEEE Transactions on Industrial Informatics, ISSN 1551-3203, E-ISSN 1941-0050, Vol. 1, no 4, p. 217-225Article in journal (Refereed)
    Abstract [en]

    In today's globalized business world, outsourcing, joint ventures, mobile and cross-border collaborations have led to work environments distributed across multiple organizational and geographical boundaries. The new requirements of portability, configurability and interoperability of distributed device networks put forward new challenges and security risks to the system's design and implementation. There are critical demands on highly secured collaborative control environments and security enhancing mechanisms for distributed device control, configuration, monitoring, and interoperation. This paper addresses the collaborative control issues of distributed device networks under open and dynamic environments. The security challenges of authenticity, integrity, confidentiality, and execution safety are considered as primary design constraints. By adopting policy-based network security technologies and XML processing technologies, two new modules of Secure Device Control Gateway and Security Agent are introduced into regular distributed device control networks to provide security and safety enhancing mechanisms. The core architectures, applied mechanisms, and implementation considerations are presented in detail in this paper.

  • 418. Yang, Xiaoyu
    et al.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. University of Skövde.
    VR-Assisted Assembly Planning2009In: Proceedings of the 3rd International Swedish Production Symposium, 2009, p. 423-428Conference paper (Refereed)
    Abstract [en]

    In this paper, we present an intelligent assembly planning and training system combining virtual reality (VR) and motion tracking technologies. The development conceptual prototype for assembly planning and training enables individuals to interact with virtual environment in real time. It extends the new technologies of motion tracking and integrates them with virtual environment technologies to create real-time virtual work cell simulations in which workers may be immersed with hands-on experiences. The experimental results to date are presented to demonstrate the contributions of human skills in achieving intelligent assembly planning.

  • 419. Yang, Y.
    et al.
    Gao, R. X.
    Fan, Z.
    Wang, J.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Cloud-based prognosis: Perspective and challenge2014Conference paper (Refereed)
    Abstract [en]

    Comprehensive acquisition, distribution, and utilization of information about machine equipment and/or processes across spatial boundaries for improved productivity and decision have increasingly become the hallmark of advanced manufacturing. The emergence of cloud computing has created ample opportunities to achieve this goal. This paper presents a review of the state-of-the-art of prognosis technique for manufacturing and its future development motivated by the cloud infrastructure. Prevailing methods of prognosis are summarized, and their respective performance is comparatively evaluated. Basic principles and recent advances in cloud computing, as well as its application to cloud manufacturing, are introduced. Based on the survey, the concept of cloud-based prognosis is proposed, and its architecture as well as associated challenges are discussed.

  • 420.
    Yao, Bitao
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. Wuhan University of Technology, China.
    Zhou, Z.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Xu, W.
    Liu, Q.
    Liu, A.
    Sensorless and adaptive admittance control of industrial robot in physical human−robot interaction2018In: Robotics and Computer-Integrated Manufacturing, ISSN 0736-5845, E-ISSN 1879-2537, Vol. 51, p. 158-168Article in journal (Refereed)
    Abstract [en]

    As industrial robots are applied in manufacturing industry on a large-scale and human intelligence is regarded as an important part in manufacturing, physical human−robot interaction (pHRI) which integrates the strength and accuracy of robot with human operator's ability of task cognition has drawn the attention of both academia and industry. However, an industrial robot without extra force/torque sensor for interacting force monitoring cannot be used directly in pHRI, and research on pHRI of industrial robots remains a challenge. In this research, a comprehensive dynamic model of an industrial robot in both dynamic mode and quasi-static mode is obtained to calculate the external force produced by human operator in pHRI and enables sensorless pHRI for industrial robots even in the environment with ambient vibration. Particularly, the dynamics in the process of mode switching which has not been investigated by researchers is studied and compensated by an empirical but effective method. Admittance control is used to transfer the detected force into reference position and velocity of the robot. RBF (Radial Basis Function) network is used to update the damping parameter online in order to reduce the contact force change and the contact force which makes pHRI more natural and easier. The stability of the controller is also discussed. The proposed methods of external force detection and adaptive admittance control show satisfactory behaviour in the experiments.

  • 421.
    Yao, Bitao
    et al.
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems. Wuhan Univ Technol, Sch Mech & ElWuhan Univ Technol, Hubei Key Lab Broadband Wireless Commun & Sensor, Wuhan 430070, Hubei, Peoples R China..
    Zhou, Zude
    Wuhan Univ Technol, Sch Mech & Elect Engn, Wuhan 430070, Hubei, Peoples R China..
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Xu, Wenjun
    Wuhan Univ Technol, Sch Informat Engn, Wuhan 430070, Hubei, Peoples R China.;Wuhan Univ Technol, Hubei Key Lab Broadband Wireless Commun & Sensor, Wuhan 430070, Hubei, Peoples R China..
    Yan, Junwei
    Wuhan Univ Technol, Sch Informat Engn, Wuhan 430070, Hubei, Peoples R China.;Wuhan Univ Technol, Hubei Key Lab Broadband Wireless Commun & Sensor, Wuhan 430070, Hubei, Peoples R China..
    Liu, Quan
    Wuhan Univ Technol, Sch Informat Engn, Wuhan 430070, Hubei, Peoples R China.;Wuhan Univ Technol, Hubei Key Lab Broadband Wireless Commun & Sensor, Wuhan 430070, Hubei, Peoples R China..
    A function block based cyber-physical production system for physical human robot interaction2018In: Journal of manufacturing systems, ISSN 0278-6125, E-ISSN 1878-6642, Vol. 48, p. 12-23Article in journal (Refereed)
    Abstract [en]

    Human-robot collaboration (HRC) is becoming a trend in manufacturing industry. However, the dramatic changes of requirements from the market put a higher demand for the flexibility of manufacturing systems. Cyber-Physical Production System (CPPS) which offers benefits of autonomy, self-organisation, and interoperability can be adopted to increase the flexibility of manufacturing systems. IEC 61499 (International Electrotechnical Commission) function blocks (FBs) are modularised and reusable software components for distributed industrial control. It is a suitable technology to realise a CPPS. Therefore, CPPS and FBs can be combined to realise the HRC system. This paper proposes a framework and the implementation method of IEC 61499 FB based CPPS for physical human-robot interaction (pHRI) which is type of HRC. An industrial robot based CPPS for pHRI is decomposed into modularised FBs that can be networked to fulfil manufacturing tasks. An energy consumption FB based on a novel empirical energy consumption model is also added to the system for energy consumption monitoring of the Robot. An assembly case is used to demonstrate the feasibility of the proposed system. Results show that the FB based CPPS for pHRI possesses the potential capability for HRC based assembly. The future work is also discussed.

  • 422. Yeung, Millan K.
    et al.
    Gui, Z.
    Wong, B.
    Orban, P.
    Wang, Lihui
    Integrated Manufacturing Technologies Institute, National Research Council Canada.
    Lang, Sherman Y. T.
    High Performance Machining Automation2005In: Proceedings of the 5th International Workshop on Advanced Manufacturing Technologies, 2005, p. 225-230Conference paper (Refereed)
  • 423. Yeung, Millan K.
    et al.
    Wang, Lihui
    Orban, Peter
    Development of Machining Topology Knowledge Base2003Conference paper (Refereed)
  • 424.
    Yue, C.
    et al.
    China.
    Gao, H.
    China.
    Liu, X.
    China.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Liang, S. Y.
    China.
    Analytical prediction of part dynamics and process damping for machining stability analysis2018In: Procedia CIRP, Elsevier, 2018, p. 1463-1468Conference paper (Refereed)
    Abstract [en]

    The milling of titanium alloy thin-walled parts is confronted with the double challenges of hard to machined materials and hard machined structures. Aiming at the problem that the effect of the damping process is significant and difficult to measure in the process of machining titanium thin-walled parts, the mathematical model of the process damping is established. The tangential and radial ploughing force coefficients that characterize the damping of the process are obtained based on the power spectral density matrix and the principle of energy balance. The structural dynamic modification method is used to solve the nonlinear problem of the workpiece characteristics with the material removal and the change of the relative position of the tool and the workpiece. The time delay differential equation which considers the damping effect of the process and the dynamic characteristic of the workpiece is solved by the full-discretization method, and the three-dimensional stability lobe diagram of the milling thin-walled parts is obtained. A series of experiments have been conducted to verify the accuracy of the stability prediction.

  • 425. Zeng, Y.
    et al.
    Yao, S.
    Wang, Lihui
    National Research Council of Canada.
    Architecture of Web-based Distributed Systems for Gathering and Managing Product Requirements2006In: Proceedings of the 16th CIRP International Design Seminar, 2006, p. 712-717Conference paper (Refereed)
  • 426. Zhang, D.
    et al.
    Wang, Lihui
    Centre for Intelligent Automation, University of Skövde, Sweden.
    Gao, Z.
    Su, X.
    On performance enhancement of parallel kinematic machine2013In: Journal of Intelligent Manufacturing, ISSN 0956-5515, E-ISSN 1572-8145, Vol. 24, no 2, p. 267-276Article in journal (Refereed)
    Abstract [en]

    This paper proposes a spatial three degrees of freedom (DOF) parallel kinematic machine enhanced by a passive leg and a web-based remote control system. First, the geometric model of the parallel kinematic machine is addressed. In the mechanism, a fourth kinematic link—a passive link connecting the base center to the moving platform center—is introduced. Each of the three parallel limbs is actuated by one prismatic joint, respectively. The additional link has three passive DOF, namely two rotations around x and y axes and one translation along z axis. With the existence of this link, the unwanted motion of the tool (located in the moving platform) is constrained. The fourth link also enhances the global stiffness of the structure and distributes the torque from machining. With the kinematic model, a web-based remote control approach is applied. The concept of the web-based remote manipulation approach is introduced and the principles behind the method are explored in detail. Finally, a remote manipulation is demonstrated to the proposed structure using web-based remote control concept.

  • 427. Zhang, Dan
    et al.
    Wang, Lihui
    National Research Council of Canada.
    A Novel Approach for Reconfigurable Parallel Kinematic Machine Control2005In: Proceedings of CIRP 3rd International Conference on Reconfigurable Manufacturing, 2005Conference paper (Refereed)
  • 428. Zhang, Dan
    et al.
    Wang, Lihui
    Integrated Manufacturing Technologies Institute, National Research Council of Canada.
    Conceptual Development of an Enhanced Tripod Mechanism for Machine Tool2005In: Robotics and Computer-Integrated Manufacturing, ISSN 0736-5845, E-ISSN 1879-2537, Vol. 21, no 4-5, p. 318-327Article in journal (Refereed)
    Abstract [en]

    In this paper, a spatial three degrees of freedom parallel mechanism enhanced by a passive leg is proposed. The proposed parallel mechanism can be used in several applications, e.g. motion simulator, micromanipulator and machine tools. First, the geometric model of the three degrees of freedom parallel mechanism is addressed, in which a fourth kinematic link—a passive link connecting the base center to the platform center—is introduced. This last link is used to constrain the motion of the platform to only three degrees of freedom, i.e. the degree of freedom of the mechanism depends on the passive leg. The passive leg also enhances the global stiffness of the structure and distributes the torque from machining. Second, the kinematic analysis with the consideration of link flexibility is conducted. A kinetostatic model of the three degrees of freedom parallel mechanism with a passive link is then established and analyzed using lumped-parameter model. With the proposed method, a significant effect of the link flexibility on the mechanism's precision has been demonstrated. The influence of the change of structure parameters, including material properties, on the system behavior is discussed. Compliance mapping is also illustrated. The kinetostatic model proposed in the paper can be extended for optimal design and control of parallel kinematic machines. Finally, design optimization is conducted using genetic algorithms and some design guideline is given.

  • 429. Zhang, Dan
    et al.
    Wang, Lihui
    Implementation of Parallel Kinematic Machine Remote Manipulation via Wise-ShopFloor2005In: , 2005, Vol. 1, p. 320-332Conference paper (Refereed)
  • 430.
    Zhang, Dan
    et al.
    University of Ontario Institute of Technology.
    Wang, Lihui
    National Research Council of Canada.
    On Performance Enhancement of Parallel Kinematic Machine2005In: Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference - DETC2005, ASME Press, 2005, Vol. 2 A, p. 123-129Conference paper (Refereed)
    Abstract [en]

    This paper proposes a spatial three degrees of freedom parallel kinematic machine enhanced by a passive leg and a web-based remote control system. First, the geometric model of the three degrees of freedom parallel kinematic machine is addressed; in the mechanism, a fourth kinematic link — a passive link connecting the base center to the moving platform center — is introduced. This last link is used to constrain the motion of the tool (located in the moving platform) to only three degrees of freedom, as well as to enhance the global stiffness of the structure and distribute the torque from machining. With the kinematic model, a web-based remote control approach is then applied. The concept of the web-based remote manipulation approach is introduced and the principles behind the method are explored in detail. Finally, an example of remote manipulation is demonstrated to the proposed 3-DOF structure using web-based remote control concept before conclusions.

  • 431. Zhang, Dan
    et al.
    Wang, Lihui
    National Research Council of Canada.
    Web-Based Remote Manipulation in Advanced Manufacturing System2005In: Proceedings of the IEEE EEE05 international workshop on Business services networks, 2005, p. 105-111Conference paper (Refereed)
    Abstract [en]

    In this paper, a Web-based collaborative framework is proposed. With appropriate open architecture for effective collaboration among a dispersed engineering team, the Web-based digital Shop Floor can serve real-time data from bottom up and can function as a constituent component of e-manufacturing for remote monitoring and control. This paper presents the basis of the framework for building web-based collaborative systems that can be used for distributed manufacturing. A proof-of-concept prototype system is developed on top of the framework to demonstrate one of its potential applications on shop floor monitoring and control.

  • 432.
    Zhang, Dan
    et al.
    Faculty of Engineering and Applied Science, University of Ontario Institute of Technology.
    Wang, Lihui
    Lihui Wang Integrated Manufacturing Technologies Institute, National Research Council Canada.
    Bi, Z.M.
    Integrated Manufacturing Technologies Institute, National Research Council Canada.
    Kinematic, Dynamic Modeling and Remote Control of a Robotic Machine2007In: 2007 IEEE International Conference on Control and Automation, ICCA, IEEE, 2007Conference paper (Refereed)
    Abstract [en]

    In this paper, a robotic machine with 3 degrees of freedom (DOF) is proposed. First, the geometric structure of the 3-DOF parallel robot is presented; in the mechanism, a fourth kinematic link -a passive link connecting the base center to the moving platform center -is introduced. This last link is used to constrain the motion of the moving platform to only 3-DOF. Then, the kinematic and dynamic models are developed. With the models, a web-based remote control approach is then applied. The 3-DOF parallel robot can be used as a machine tool for the purpose of polishing, deburring and milling, etc. Finally, an experiment to demonstrate the proposed 3-DOF structure is set up, and some conclusions are given by the end.

  • 433.
    Zhang, Dan
    et al.
    Faculty of Engineering and Applied Science, University of Ontario Institute of Technology.
    Wang, Lihui
    Integrated Manufacturing Technologies Institute, National Research Council of Canada .
    Esmailzadeh, E.
    Integrated Manufacturing Technologies Institute, National Research Council of Canada.
    PKM Capabilities and Applications Exploration in a Collaborative Virtual Environment2006In: Robotics and Computer-Integrated Manufacturing, ISSN 0736-5845, E-ISSN 1879-2537, Vol. 22, no 4, p. 384-395Article in journal (Refereed)
    Abstract [en]

    This paper introduces an integrated validation system that consists of the following modular components: kinematic/dynamic analysis module, kinetostatic model, CAD module, FEM module, CAM module, optimization module and virtual environment for remote control. In this paper, authors focus mainly on the modules of kinetostatic modeling, dynamic modeling, PKM design optimization and remote control realization. The prototype of a 3-dof Parallel Kinematic Machine (PKM) developed at the Integrated Manufacturing Technologies Institute of National Research Council of Canada (NRC-IMTI) is used as ail example throughout this paper.

  • 434. Zhang, Dan
    et al.
    Wang, Lihui
    National Research Council of Canada.
    Esmailzadeh, E.
    Web-Based Remote Manipulation of Parallel Robot in Advanced Manufacturing Systems2007In: Industrial Robotics: Theory, Modelling and Control, Vienna, Austria: ARS International Publisher , 2007, p. 659-674Chapter in book (Refereed)
  • 435. Zhang, Dan
    et al.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. University of Skövde.
    Gao, Zhen
    An Integrated Approach for Remote Manipulation of a High-Performance Reconfigurable Parallel Kinematic Machine2010In: Journal of manufacturing systems, ISSN 0278-6125, E-ISSN 1878-6642, Vol. 29, no 4, p. 164-172Article in journal (Refereed)
    Abstract [en]

    Flexible and effective manipulation is important and meaningful for the further development and applications of parallel manipulators in the industrial fields, especially for high-performance manufacturing. Web-based manufacturing has emerged as an alternative manufacturing technology in a distributed environment. In this paper, an integrated approach is proposed for remote manipulation of the reconfigurable parallel kinematic machine (RPKM) based on sensor-driven Wise-ShopFloor framework. The concept of Wise-ShopFloor integrates the modules of detailed architecture design, module interactions, sensor data utilization and model predictive control. In order to demonstrate the efficiency of this novel methodology, an example of a five degrees-of-freedom (DOF) RPKM is developed for surface finishing. The reconfigurability, the necessary kinematic analysis, and the performance mapping of the 5-DOF RPKM are conducted so as to implement the proposed approach.

  • 436. Zhang, Dan
    et al.
    Wang, Lihui
    Integrated Manufacturing Technologies Institute.
    Lang, Sherman Y.
    Parallel Kinematic Machines: Design, Analysis and Simulation in an Integrated Virtual Environment2005In: Journal of mechanical design (1990), ISSN 1050-0472, E-ISSN 1528-9001, Vol. 127, p. 580-588Article in journal (Refereed)
  • 437.
    Zhang, Dan
    et al.
    National Research Council of Canada.
    Wang, Lihui
    National Research Council of Canada.
    Lang, Sherman Y. T.
    National Research Council of Canada.
    An Integrated Virtual Validation System for Parallel Kinematic Machine Analysis and Design2003In: Proceedings of the ASME Design Engineering Technical Conference, 2003, p. 1149-1158Conference paper (Refereed)
    Abstract [en]

    Selecting a configuration for a machine tool that will best suit the needs of a forecast set of requirements can be a difficulty and costly exercise. This problem can now be addressed using an integrated virtual validation system. The system includes kinematic/dynamic analysis, kinetostatic model, CAD module, FEM module, CAM module, optimization module and visual environment for simulation and collision detection of the machining and deburring. It is an integration of the parallel kinematic machines (PKM) design, analysis, optimization and simulation. In this paper, the integrated virtual system is described in a detail, a prototype of a 3-dof PKM is modeled, analyzed, optimized and remote controlled with the proposed system. Some results and simulations are also given. Its effectiveness is shown with the results obtained by NRC-IMTI during the design of the 3-dof NRC PKM.

  • 438.
    Zhang, Dan
    et al.
    National Research Council of Canada.
    Wang, Lihui
    National Research Council of Canada.
    Lang, Sherman Y. T.
    National Research Council of Canada.
    Modelling and Control of PKM in an Integrated Environment2003In: Proceedings of the ASME Design Engineering Technical Conference, ASME Press, 2003, Vol. 1 A, p. 67-76Conference paper (Refereed)
    Abstract [en]

    This paper introduces an integrated validation system that consists of the following modular components: kinematic/dynamic analysis module, kinetostatic model, CAD module, FEM module, CAM module, optimization module and visual environment for remote control. In this paper, authors focus mainly on the modules of kinetostatic modeling, dynamic modeling, PKM design optimization, and remote control realization. The prototype of a 3-dof PKM developed at NRC-IMTI is used as an example throughout this paper.

  • 439.
    Zhang, Dan
    et al.
    Faculty of Engineering and Applied Science, University of Ontario Institute of Technology.
    Wang, Lihui
    Integrated Manufacturing Technologies Institute, National Research Council of Canada .
    Wu, T.
    Faculty of Business and Information Technology, University of Ontario Institute of Technology.
    Web-Based Digital Shop Floor: Implementation of Business Service Management and Managerial Implications2007In: International Journal of Internet and Enterprise Management, ISSN 1476-1300, E-ISSN 1741-5330, Vol. 5, no 1, p. 78-90Article in journal (Refereed)
    Abstract [en]

    In this paper, a web-based collaborative framework called Wise-ShopFloor (Web-based integrated sensor-driven e-ShopFloor) is proposed. With appropriate open architecture for effective collaboration among a dispersed engineering team, the Wise-ShopFloor can serve real-time data from bottom up and can function as a constituent component of e-manufacturing for remote monitoring and control. This paper presents the basis of the framework for building web-based collaborative systems that can be used for distributed manufacturing. A proof-of-concept prototype system is developed on top of the framework to demonstrate one of its potential applications on shop floor monitoring and control.

  • 440. Zhang, Y.
    et al.
    Liu, Sichao
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering. Northwestern Polytechnical University, Shaanxi, China.
    Liu, Y.
    Yang, H.
    Li, M.
    Huisingh, D.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    The ‘Internet of Things’ enabled real-time scheduling for remanufacturing of automobile engines2018In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 185, p. 562-575Article in journal (Refereed)
    Abstract [en]

    Typical challenges that managers of remanufacturing face are composed of the lack of timely, accurate, and consistent information of remanufacturing resources. Therefore, it is difficult to implement real-time production scheduling for the shop floor. To address this problem, the authors applied the concept of the ‘Internet of Things’ to the remanufacturing of automobile engines to form an Internet of Manufacturing Things environment. Under the Internet of Manufacturing Things, an identification technology for disassembled engine parts was designed, and the real-time status of the remanufacturable resources can be monitored. Based on the captured remanufacturing information, a real-time production scheduling method was developed, and a mathematical model was developed to achieve cost reduction, dynamic management of remanufacturable resources, and energy consumption decrease. To obtain an optimal solution, a Pareto-based optimization method was used. Finally, a case study was performed to analyze the effectivity of the proposed method. The results showed that the remanufacturing cost and energy consumption were reduced by 34% and 34% respectively, and the worker load rate was more balanced. These improvements can contribute to more sustainable development and greener production within the remanufacturing industry, especially for remanufacturing of automobile engines.

  • 441.
    Zhang, Yuyan
    et al.
    Huazhong Univ Sci & Technol, State Key Lab Digital Mfg Equipment & Technol, Wuhan, Hubei, Peoples R China..
    Li, Xinyu
    Huazhong Univ Sci & Technol, State Key Lab Digital Mfg Equipment & Technol, Wuhan, Hubei, Peoples R China..
    Gao, Liang
    Huazhong Univ Sci & Technol, State Key Lab Digital Mfg Equipment & Technol, Wuhan, Hubei, Peoples R China..
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Wen, Long
    Huazhong Univ Sci & Technol, State Key Lab Digital Mfg Equipment & Technol, Wuhan, Hubei, Peoples R China..
    Imbalanced data fault diagnosis of rotating machinery using synthetic oversampling and feature learning2018In: Journal of manufacturing systems, ISSN 0278-6125, E-ISSN 1878-6642, Vol. 48, p. 34-50Article in journal (Refereed)
    Abstract [en]

    Imbalanced data problems are prevalent in the real rotating machinery applications. Traditional data-driven diagnosis methods fail to identify the fault condition effectively for lack of enough fault samples. Therefore, this study proposes an effective three-stage fault diagnosis method towards imbalanced data. First, a new synthetic oversampling approach called weighted minority oversampling (WMO) is devised to balance the data distribution. It adopts a new data synthesis strategy to avoid generating incorrect or unnecessary samples. Second, to select useful features automatically, an enhanced deep auto-encoder (DA) approach is adopted. DA is improved in two aspects: 1) a new cost function based on maximum correntropy and sparse penalty is designed to learn sparse robust features; 2) a fine-tuning operation with a self-adaptive learning rate is developed to ensure the good convergence performance. Finally, the C4.5 decision tree identifies the learned features. The proposed method named WMODA is evaluated on 25 benchmark imbalanced datasets. It achieves better results than five well-known imbalanced data learning methods. It is also evaluated on a real engineering dataset. The experimental results show that WMODA can detect more fault samples than the traditional data-driven methods.

  • 442. Zhao, Wenyan
    et al.
    Wang, Xi Vincent
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Yang, Jianxin
    Li, Bo
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    A CLOUD-BASED APPROACH TO SUPPORT THE MOBILE PHONE RECYCLING INDUSTRY IN CHINA2016In: ASME 2016 11th International Manufacturing Science and Engineering Conference, MSEC 2016, American Society of Mechanical Engineers , 2016Conference paper (Refereed)
    Abstract [en]

    In recent years, the waste mobile phones are generated in large quantity in China. Those e-wastes gain more and more attention because of both the sharp increase in quantity and the recyclable resources they contain. Furthermore, the mobile phone recycling industry has experienced a trend of rapid growth as well. However, due to the lack of national policies and legislations, the recycling industry is now facing problems in recycling processes. Thus in this paper, mobile phone recycling industry in China is systematically analyzed and a Cloud-based approach is developed which integrates tracking, interaction and coordinator mechanism through the recycling processes. With the integration of various stakeholders, the system can provide integrated data system throughout the whole life cycle of the mobile phones for the policy maker, and provide guidance for the operations during recycling service for the recycling stakeholders.

  • 443. Zhong, R. Y.
    et al.
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Xu, X.
    An IoT-enabled Real-time Machine Status Monitoring Approach for Cloud Manufacturing2017In: Manufacturing Systems 4.0 – Proceedings of the 50th CIRP Conference on Manufacturing Systems, Elsevier, 2017, Vol. 63, p. 709-714Conference paper (Refereed)
    Abstract [en]

    Cloud Manufacturing (CMfg) has attracted large number of attentions from both academia and practitioners. One of the key concepts in CMfg is service sharing which is based on the availability of various manufacturing resources. This paper introduces an Internet of Things (IoT) enabled real-time machine status monitoring platform for the provision of resource availability. IoT technologies such as RFID and wireless communications are used for capturing real-time machines' statuses. After that, such information is visualized through a graphical dashboard after being processed by various data models and cloud-based services over smart phones. A demonstrative case is given to illustrate the feasibility and practicality of the proposed system. In this case, IoT devices are deployed in a CMfg environment such as shop floors to capture machine data firstly. Secondly, cloud-based services are designed and developed for making full use of the captured data to facilitate end-users' production operations and behaviors. Thirdly, '5w' questions are answered by using both real-time and historic data generated from the frontline CMfg sites.

  • 444. Zhong, Ray
    et al.
    Xu, Xun
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
    Food supply chain management: systems, implementations, and future research2017In: Industrial management + data systems, ISSN 0263-5577, E-ISSN 1758-5783, Vol. 117, no 9, p. 2085-2114Article, review/survey (Refereed)
    Abstract [en]

    Purpose - The purpose of this paper is to review the food supply chain management (FSCM) in terms of systems and implementations so that observations and lessons from this research could be useful for academia and industrial practitioners in the future. Design/methodology/approach - A systematical and hierarchical framework is proposed in this paper to review the literature. Categorizations and classifications are identified to organize this paper. Findings - This paper reviews total 192 articles related to the data-driven systems for FSCM. Currently, there is a dramatic increase of research papers related to this topic. Looking at the general interests on FSCM, research on this topic can be expected to increase in the future. Research limitations/implications - This paper only selected limited number of papers which are published in leading journals or with high citations. For simplicity without generality, key findings and observations are significant from this research. Practical implications - Some ideas from this paper could be expanded into other possible domains so that involved parties are able to be inspired for enriching the FSCM. Future implementations are useful for practitioners to conduct IT-based solutions for FSCM. Social implications - As the increasing of digital devices in FSCM, large number of data will be used for decision-makings. Data-driven systems for FSCM will be the future for a more sustainable food supply chain. Originality/value - This is the first attempt to provide a comprehensive review on FSCM from the view of data-driven IT systems.

  • 445. Zhong, Ray Y.
    et al.
    Xu, Xun
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    IoT-enabled Smart Factory Visibility and Traceability using Laser-scanners2017In: 45TH SME NORTH AMERICAN MANUFACTURING RESEARCH CONFERENCE (NAMRC 45) / [ed] Wang, L Fratini, L Shih, AJ, 2017, p. 1-14Conference paper (Refereed)
    Abstract [en]

    Smart Factory is one of the critical components in Industry 4.0 which is our next industrial generation. This paper introduces an Internet of Things (IoT) -enabled Smart Factory Visibility and Traceability Platform (iVTP for short) to ultimately achieve real-time production visualization within a smart factory. iVTP uses IoT technology to identify various manufacturing objects. Specifically, radio frequency identification (RFID) devices are used for converting various resources into smart manufacturing objects (SMOs) and their interactions thus are able to real-time reflect the production operations and behaviors. By innovatively using a laser-scanner in the shopfloor, iVTP is able to real-time display the movements of various SMOs and twin the real-time RFID data to show their states. A Cloud-based system architecture which enables all the services packaged and deployed in a Cloud allows typical end-users to easily define their production logics, download useful services, and develop their customized services. Several demonstrative scenarios are presented to show how iVTP can facilitate the typical decision-making, production and logistics operations in a smart factory. (C) 2017 The Authors. Published by Elsevier B.V.

  • 446. Zhou, Bin
    et al.
    Wang, Lihui
    University of Calgary, Canada.
    Norrie, Douglas H.
    Design of Distributed Real-time Control Agents for Intelligent Manufacturing Systems1999Conference paper (Refereed)
    Abstract [en]

    In the 21st century, manufacturing processes and equipment will be changing frequently to take advantage of new technologies, and to adapt to new products and varying market requirements. Next generation Intelligent Manufacturing Systems (IMS) will consist of distributed control and application entities that dynamically collaborate to satisfy both local and global objectives. Manufacturing control systems will be required to manage production change and disturbances effectively and efficiently both at higher level of product control and at the lower levels of soft and hard real time control. The research described in this paper focuses on agent-based metamorphic control architecture and function-block-based design of control agents for distributed manufacturing environments at the soft and hard levels. The initial implementation of an intelligent control agent designer and the process of automatic control code generation are described.

  • 447. Zhou, Zude
    et al.
    Yao, Bitao
    Xu, Wenjun
    Wang, Lihui
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Condition monitoring towards energy-efficient manufacturing: a review2017In: The International Journal of Advanced Manufacturing Technology, ISSN 0268-3768, E-ISSN 1433-3015, Vol. 91, no 9-12, p. 3395-3415Article, review/survey (Refereed)
    Abstract [en]

    Recently, sustainable development has obtained increasing attentions from governments, industry, and academia owing to the limited natural resources. In the area of energy consumption, manufacturing accounts for a major portion of the total energy usage in industry. There is a clear necessity for energy-efficient manufacturing by optimizing manufacturing activities. Condition monitoring is the technology that provides runtime information for optimization. This paper aims to provide a better understanding of past achievements and future trends of condition monitoring towards energy-efficient manufacturing. Since there are a variety of sensors and technologies that can be used for condition monitoring towards energy-efficient manufacturing, this paper divides manufacturing activities into three levels, namely unit process level, shop-floor level, and supply chain level, and summarizes and discusses the sensors and technologies required to enable energy-efficient manufacturing on each level. With the advancement of technology, condition monitoring shows the characteristic of intelligence. Intelligent sensors that can be applied to condition monitoring in energy-efficient manufacturing are also reviewed. This paper can be helpful to manufacturers who are willing to improve energy efficiency in own manufacturing practice.

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