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Condition monitoring towards energy-efficient manufacturing: a review
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
2017 (English)In: 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) Published
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.

Place, publisher, year, edition, pages
Springer London, 2017. Vol. 91, no 9-12, p. 3395-3415
Keywords [en]
Sustainable development, Energy-efficient manufacturing, Conditionmonitoring, Intelligence
National Category
Other Engineering and Technologies not elsewhere specified
Identifiers
URN: urn:nbn:se:kth:diva-212607DOI: 10.1007/s00170-017-0014-xISI: 000406976500040Scopus ID: 2-s2.0-85010780410OAI: oai:DiVA.org:kth-212607DiVA, id: diva2:1136058
Note

QC 20170825

Available from: 2017-08-25 Created: 2017-08-25 Last updated: 2017-08-25Bibliographically approved

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