In this paper, a new method is proposed for incremental identification of Programmable Logic Controller (PLC) controlled tool changing process using available binary event logs obtained from the PLC. The identified discrete event model identified takes the form of a modified Timed Petri Net (TPN). A real time anomaly detection system is then constructed by synchronizing the identified TPN model with the actual tool changing process through the event sequence. Any discrepancies between the model and actual system are recognized as anomalies. The test results show that the diagnostic system automatically constructed using the newly proposed procedure is able to detect anomalies, such as incorrect timing and illegal event sequence. The same procedure has been successfully applied to monitor other PLC controlled automation processes.
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ASME 2007 International Manufacturing Science and Engineering Conference
October 15–18, 2007
Atlanta, Georgia, USA
Conference Sponsors:
- Manufacturing Division
ISBN:
0-7918-4290-8
PROCEEDINGS PAPER
Identification and Anomaly Detection for PLC Controlled Automatic Tool Changer Using Timed Petri Net
Jianbo Liu,
Jianbo Liu
University of Michigan, Ann Arbor, MI
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Dragan Djurdjanovic,
Dragan Djurdjanovic
University of Michigan, Ann Arbor, MI
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Jun Ni
Jun Ni
University of Michigan, Ann Arbor, MI
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Jianbo Liu
University of Michigan, Ann Arbor, MI
Dragan Djurdjanovic
University of Michigan, Ann Arbor, MI
Jun Ni
University of Michigan, Ann Arbor, MI
Paper No:
MSEC2007-31222, pp. 547-554; 8 pages
Published Online:
March 24, 2009
Citation
Liu, J, Djurdjanovic, D, & Ni, J. "Identification and Anomaly Detection for PLC Controlled Automatic Tool Changer Using Timed Petri Net." Proceedings of the ASME 2007 International Manufacturing Science and Engineering Conference. ASME 2007 International Manufacturing Science and Engineering Conference. Atlanta, Georgia, USA. October 15–18, 2007. pp. 547-554. ASME. https://doi.org/10.1115/MSEC2007-31222
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