CO-DIAGNOSABILITY APPROACH OF DISCRETE EVENT SYSTEMS WITHOUT GLOBAL MODEL BASED ON PETRI NETWORKS AND INTERNAL SUCCESSION EVENTS

Abstract

 Diagnosability ensures that the global model of a centralized system, will always be able to diagnose a predetermined set of faults previously listed unambiguously. However co-diagnosability guarantee that these faults are diagnosed in a decentralized manner using multiple local diagnosticians. The co-diagnosability property is stronger than diagnosability, because if a system is Co-diagnosable it is diagnosable; while a diagnosable system does not necessarily ensure the co-diagnosability of this system. The challenge of decentralized diagnosis approaches is to perform multiple local diagnostics and verify that they are equivalent to the global one without the need for a global model. This paper proposes an approach to obtain a decentralized co-diagnosable diagnosis structure of the discrete event system, without the use of a global model, based on internal succession events of local diagnosticians and Petri networks.

Authors and Affiliations

Alaoui Ismaili Hajar*

Keywords

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  • EP ID EP159675
  • DOI 10.5281/zenodo.159314
  • Views 84
  • Downloads 0

How To Cite

Alaoui Ismaili Hajar* (30).  CO-DIAGNOSABILITY APPROACH OF DISCRETE EVENT SYSTEMS WITHOUT GLOBAL MODEL BASED ON PETRI NETWORKS AND INTERNAL SUCCESSION EVENTS. International Journal of Engineering Sciences & Research Technology, 5(10), 113-123. https://www.europub.co.uk/articles/-A-159675