Discriminability Analysis of Supervision Patterns by Net Unfoldings

Gougam, Houssam Eddine; Subias, Albert Corominas; Pencolé, Yannick

doi:10.3182/20140514-3-fr-4046.00136

Cited by 2 publications

(1 citation statement)

References 18 publications

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“…Ye et al (2009), Yan et al (2010) and Ye and Dague (2012) deal with the diagnosis of patterns in distributed DESs modeled by finite state automata. Gougam et al (2014) discuss the discriminability 7 of supervision patterns in a Petri net framework (in that work, both the system model and patterns are Petri net models). The diagnosability of Petri net patterns has also been discussed in Gougam et al (2013b) and Gougam et al (2017).…”

Section: Intermittent Fault Diagnosis As Supervision Pattern Diagnosismentioning

confidence: 99%

Intermittent fault diagnosability of discrete event systems: an overview of automaton-based approaches

Boussif

Ghazel²,

Basilio

2020

Discrete Event Dyn Syst

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Real life experience has shown that intermittent faults are among the most challenging kinds of faults to detect and isolate, being present in the majority of production systems. Such a concern has made intermittent fault an active area of research in both discrete event and continuous-variable dynamic systems. In this paper, we present a review of the state-of-the art of intermittent fault diagnosis of discrete event systems modeled by finite state automata. To this end, we revisit the main definitions of diagnosability of intermittent faults, and present comparisons between them, consider verification and analysis techniques, and discuss available complexity results. Examples are used throughout the paper to illustrate the reviewed concepts and verification algorithms. We also look ahead, by suggesting some perspectives for future research.

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