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.
A. Awad, D. H. (2009). A GENERALIZED PETRI NET-BASED DIAGNOSER FOR FAULT DETECTION AND ISOLATION IN COMPLEX PROCESSES. JES. Journal of Engineering Sciences, 37(No 4), 969-981. doi: 10.21608/jesaun.2009.127767
MLA
Dr. Hamdi A. Awad. "A GENERALIZED PETRI NET-BASED DIAGNOSER FOR FAULT DETECTION AND ISOLATION IN COMPLEX PROCESSES", JES. Journal of Engineering Sciences, 37, No 4, 2009, 969-981. doi: 10.21608/jesaun.2009.127767
HARVARD
A. Awad, D. H. (2009). 'A GENERALIZED PETRI NET-BASED DIAGNOSER FOR FAULT DETECTION AND ISOLATION IN COMPLEX PROCESSES', JES. Journal of Engineering Sciences, 37(No 4), pp. 969-981. doi: 10.21608/jesaun.2009.127767
VANCOUVER
A. Awad, D. H. A GENERALIZED PETRI NET-BASED DIAGNOSER FOR FAULT DETECTION AND ISOLATION IN COMPLEX PROCESSES. JES. Journal of Engineering Sciences, 2009; 37(No 4): 969-981. doi: 10.21608/jesaun.2009.127767
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