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On the diagnosis of cyber-physical production systems. State-of-the-art and research agenda

: Niggemann, Oliver; Lohweg, Volker

Fulltext urn:nbn:de:0011-n-3324969 (2.9 MByte PDF)
MD5 Fingerprint: 133e016704d8d5cc5d0281083ab85965
Created on: 1.4.2015

American Association for Artificial Intelligence -AAAI-:
Eighteenth National Conference on Artificial Intelligence, AAAI, Fourteenth Innovative Applications of Artificial Intelligence Conference, IAAI 2002. Proceedings : July 28 - August 1, 2002, Edmonton, Alberta, Canada
Menlo Park: AAAI Press, 2002
ISBN: 0-262-51129-0
Conference on Artificial Intelligence <29, 2015, Austin/Tex.>
Conference Paper, Electronic Publication
Fraunhofer IOSB ()

Cyber-Physical Production Systems (CPPSs) are in the focus of research, industry and politics: By applying new IT and new computer science solutions, production systems will become more adaptable, more resource efficient and more user friendly. The analysis and diagnosis of such systems is a major part of this trend: Plants should detect automatically wear, faults and suboptimal configurations. This paper reflects the current state-of the- art in diagnosis against the requirements of CPPSs, identifies three main gaps and gives application scenarios to outline first ideas for potential solutions to close these gaps.