Home Articles List Article Information
JES. Journal of Engineering Sciences
Journal Archive
Volume Volume 52 (2024)
Volume Volume 51 (2023)
Volume Volume 50 (2022)
Volume Volume 49 (2021)
Volume Volume 48 (2020)
Volume Volume 47 (2019)
Volume Volume 46 (2018)
Volume Volume 45 (2017)
Volume Volume 44 (2016)
Volume Volume 43 (2015)
Volume Volume 42 (2014)
Volume Volume 41 (2013)
Volume Volume 40 (2012)
Volume Volume 39 (2011)
Volume Volume 38 (2010)
Volume Volume 37 (2009)
Volume Volume 36 (2008)
Volume Volume 35 (2007)
Volume Volume 34 (2006)
A. Awad, D. (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
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
A. Awad, D. (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
A. Awad, D. 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

A GENERALIZED PETRI NET-BASED DIAGNOSER FOR FAULT DETECTION AND ISOLATION IN COMPLEX PROCESSES

Article 5, Volume 37, No 4, July and August 2009, Page 969-981  XML PDF (635.88 K)
Document Type: Research Paper
DOI: 10.21608/jesaun.2009.127767
View on SCiNiTO View on SCiNiTO
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
Main Subjects
Electrical Engineering, Computer Engineering and Electrical power and machines engineering.
Statistics
Article View: 83
PDF Download: 290