On the Diagnosis of Cyber-Physical Production Systems

Authors

  • Oliver Niggemann Ostwestfalen-Lippe University of Applied Science
  • Volker Lohweg Ostwestfalen-Lippe University of Applied Science

DOI:

https://doi.org/10.1609/aaai.v29i1.9762

Keywords:

Cyber-Physical Systems, Machine Learning, Diagnosis, Anomaly Detection

Abstract

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 ef- ficient 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.

Downloads

Published

2015-03-04

How to Cite

Niggemann, O., & Lohweg, V. (2015). On the Diagnosis of Cyber-Physical Production Systems. Proceedings of the AAAI Conference on Artificial Intelligence, 29(1). https://doi.org/10.1609/aaai.v29i1.9762