Intermittent Fault Diagnosis: A Diagnoser Derived From the Normal Behavior

Soldani, Siegfried; Combacau, Michel; Subias, Albert Corominas; Thomas, Jérôme

doi:10.3182/20070613-3-fr-4909.00015

Cited by 6 publications

(2 citation statements)

References 10 publications

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“…The fault is detected if the observed behavior of the system cannot be reproduced by its model. In a series of works, Soldani et al (2006Soldani et al ( , 2007a discuss the detection and isolation of intermittent faults in a fault-free DES modeling setting in both automata (Soldani et al, 2007a) and Petri net (Soldani et al, 2007b). In those works, failures may imply either the occurrence (insertion) of spurious events or the lack of foreseen events.…”

Section: Intermittent Fault Diagnosis Using Fault-free Modelsmentioning

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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Section: Intermittent Fault Diagnosis Using Fault-free Modelsmentioning

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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“…In [5] an intermittent diagnosis approach is presented for a general class of discrete event systems which assumes intermittent faults are followed by a reset event. This assumption is relaxed in [13] for a single intermittent faults or spurious alarm. Diagnosis of intermittent failure for industrial process modeled as Petri-nets are introduced in [6].…”

Section: Introductionmentioning

confidence: 99%

Practical considerations in systems diagnosis using timed failure propagation graph models

Abdelwahed

Karsai

2007

2007 IEEE Autotestcon

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Timed failure propagation graphs (TFPG) are causal models that capture the temporal aspects of failure propagation in dynamic systems. In this paper we present several practical modeling and reasoning considerations that have been addressed based on experience with avionics systems. These include the problem of intermittent faults, handling test alarms, dealing with limited computational resources, and model reduction for large scale systems.

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