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A Model-Based Approach to Qualified Process Automation for Anomaly Detection and Treatment
KTH, Skolan för industriell teknik och management (ITM), Maskinkonstruktion (Inst.), Inbyggda styrsystem.ORCID-id: 0000-0001-7048-0108
DFKI - German Research Center for Artificial Intelligence.
KTH, Skolan för industriell teknik och management (ITM), Maskinkonstruktion (Inst.), Mekatronik.ORCID-id: 0000-0002-7251-0654
DFKI - German Research Center for Artificial Intelligence.
2016 (Engelska)Ingår i: 21st IEEE International Conference on Emerging Technology & Factory Automation, ETFA 2016, IEEE conference proceedings, 2016, 7733731Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Modern machineries are becoming complex cyberphysicalsystems with increasingly intelligent support for processautomation. For the dependability and performance, acombination of measures for fault avoidance, robust architecture,and runtime anomaly handling is necessary. These in turn callfor a formalization of knowledge across different system lifecyclestages and a provision of novel methods and tools for qualifiedsystem synthesis and effective risk management. This paperpresents a model-based approach to qualified process automationfor the operation and maintenance of production systems. Thecontribution is centered on the formalizations of a wide range ofsystem concerns, and thereby a consolidation of the rationalebehind the design of run-time process logic in BPMN2.0. Inparticular, the approach allows an integration of formal systemdescriptions, FTA and FEMA based anomaly analysis, andexecutable process models for effective anomaly detection andtreatment. The approach adopts mature modeling methods andtools through EAST-ADL. In this paper, a prototype tool-chainwith MetaEdit+ Domain-Specific Modeling (DSM) Workbench,HiP-HOPS Analysis Tool and Camunda BPM Platform is alsopresented.

Ort, förlag, år, upplaga, sidor
IEEE conference proceedings, 2016. 7733731
Nyckelord [en]
Evolvable Production Systems (EPS), Cyber- Physical Systems (CPS), Model-Based Development (MBD), Domain-Specific Modeling (DSM), Process Automation (PA), Business Process Model and Notation (BPMN2.0), Industry 4.0
Nationell ämneskategori
Inbäddad systemteknik Produktionsteknik, arbetsvetenskap och ergonomi
Identifikatorer
URN: urn:nbn:se:kth:diva-191215DOI: 10.1109/ETFA.2016.7733731ISI: 000389524200235Scopus ID: 2-s2.0-84996525802ISBN: 978-1-5090-1314-2 (tryckt)OAI: oai:DiVA.org:kth-191215DiVA: diva2:955502
Konferens
21st IEEE International Conference on Emerging Technology & Factory Automation, ETFA 2016
Projekt
EIT Digital – Cyber-Physical Systems for Smart Factories
Anmärkning

QC 20161019

Tillgänglig från: 2016-08-25 Skapad: 2016-08-25 Senast uppdaterad: 2017-01-24Bibliografiskt granskad

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Förlagets fulltextScopushttp://www.etfa2016.org/

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Chen, DeJiu

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