Fault detection and diagnosis of automated manufacturing systems
- 6 January 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 2301-2306
- https://doi.org/10.1109/cdc.1988.194747
Abstract
The authors develop a controller methodology for fault detection and diagnosis using Petri nets and fault trees in automated manufacturing systems. The controller has two levels. At the first level there are dedicated diagnostic systems for each of the subsystems, such as machine centers, robots, conveyers, etc. At the second level there is an intelligent controller monitoring the part flow and coordinating the local diagnostic systems and controllers. The authors assume that local controller and diagnostic systems exist for subsystem-level fault detection and diagnosis, and they present a Petri-net-based intelligent controller for system-level fault detection and diagnosis. The authors also describe fault-free-based diagnostics.Keywords
This publication has 5 references indexed in Scilit:
- Joining Petri nets and knowledge based systems for monitoring purposesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Machine tool reliability—A critical factor in manufacturing systemsReliability Engineering, 1986
- A Petri net approach to the modelling and analysis of flexible manufacturing systemsAnnals of Operations Research, 1985
- A System for Monitoring the Machining Operation by Referring to a Predicted Cutting Torque PatternCIRP Annals, 1983
- Machine diagnostics in automated productionJournal of Manufacturing Systems, 1983