A GENERALIZED PETRI NET-BASED DIAGNOSER FOR FAULT DETECTION AND ISOLATION IN COMPLEX PROCESSES | ||
| JES. Journal of Engineering Sciences | ||
| Article 5, Volume 37, No 4, July and August 2009, Pages 969-981 PDF (635.88 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.21608/jesaun.2009.127767 | ||
| Author | ||
| Dr. Hamdi A. Awad | ||
| Department of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, Menouf, 32952, Menoufia University, Egypt. | ||
| Abstract | ||
| Recently, an efficient method for obtaining reduced interpreted Petri net, IPN, diagnoser was previously proposed for discrete event systems. This diagnoser consists of a single place and the same number of transitions that the system model has. Although, the current marking of this place (diagnoser) is enough to determine and locate faults occurring in a simple diagnosable discrete event system, it fails to determine and locate faults occurring in a complex non-diagnosable hydride systems that have discrete and continuous variables. Diagnosability means that the PN model is live, strongly-connected, and Transition-invariant (T-invariant); however, most of PN models are not diagnosable. This paper generalizes the IPN-based diagnoser to deals with such complex systems with ease. Chemical batch processes are employed to test the modified IPN-based diagnoser and the simulation results obtained indicate that the proposed diagnoser is promising for industrial processes. | ||
| Keywords | ||
| Discrete event systems; Hybrid systems; Fault detection and isolation; Petri nets; Interpreted Petri Nets; Chemical batch processes | ||
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