On-Line Fault Diagnosis With Partially Observed Petri Nets

Lefebvre, Dimitri

doi:10.1109/tac.2013.2294617

Cited by 48 publications

(33 citation statements)

References 17 publications

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“…Concerning diagnosability issues, our contributions extend the results presented in [5] and [30]. Our approach includes partial making measurements [23], is easily implementable for unbounded PNs [31], and can be combined with an algorithm of linear complexity [35]. Concerning predictability issues, this paper extends the results proposed by [18] to PNs.…”

Section: A Relevant Literaturesupporting

confidence: 57%

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Fault Diagnosis and Prognosis With Partially Observed Petri Nets

Lefebvre

2014

IEEE Trans. Syst. Man Cybern, Syst.

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This paper concerns the prevention of faults in discrete event systems modeled with partially observed Petri nets (POPNs) that include the definition of sensors used to measure the events and markings. Observation sequences result from this modeling, and the firing sequences and initial marking consistent with a given observation sequence are systematically obtained. The degree of confidence of past and future states and events are computed: state estimation fault diagnosis and fault prediction result from this computation. Finally, diagnosability, detectability, and predictability are defined for observation sequences and POPNs and are discussed with respect to the sensor configuration.

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Section: A Relevant Literaturesupporting

confidence: 57%

“…The proof of Proposition 1 is detailed in [31] and [35] for bounded PNs. This proposition is extended to unbounded PNs according to the …”

Section: B Partially Observed Petri Netsmentioning

confidence: 99%

Fault Diagnosis and Prognosis With Partially Observed Petri Nets

Lefebvre

2014

IEEE Trans. Syst. Man Cybern, Syst.

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“…On the other hand, Petri net has intrinsically distributed nature where the notions of state and action are local, which has been an asset to reduce the computational complexity of solving fault diagnosis problems [122]. Nevertheless, improved results were developed for avoiding complexity by either applying integer linear programming to Petri nets [123] or using partially observed Petri nets [124]. Recently, event-based approaches were applied to fault isolations for continuous dynamic processes where a high-level discrete-event system fault diagnoser was employed to improve the robustness of the fault diagnosis against large environment disturbances [125] or isolate abrupt parameter faults [126].…”

Section: Fault Diagnosis For Discrete-events and Hybrid Systemsmentioning

confidence: 99%

A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches

Gao

Cecati

Ding

2015

IEEE Trans. Ind. Electron.

2,501

937

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Northumbria University has developed Northumbria Research Link (NRL) to enable users to access the University's research output. Copyright © and moral rights for items on NRL are retained by the individual author(s) and/or other copyright owners. Single copies of full items can be reproduced, displayed or performed, and given to third parties in any format or medium for personal research or study, educational, or not-for-profit purposes without prior permission or charge, provided the authors, title and full bibliographic details are given, as well as a hyperlink and/or URL to the original metadata page. The content must not be changed in any way. Full items must not be sold commercially in any format or medium without formal permission of the copyright holder. The full policy is available online: http://nrl.northumbria.ac.uk/policies.html This document may differ from the final, published version of the research and has been made available online in accordance with publisher policies. To read and/or cite from the published version of the research, please visit the publisher's website (a subscription may be required.) IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS Abstract-With the ever increase of complexity and expense of industrial systems, there is less tolerance for performance degradation, productivity decrease and safety hazards, which greatly stimulates to detect and identify any kinds of potential abnormalities and faults as early as possible, and implement realtime fault-tolerant operation for minimizing performance degradation and avoiding dangerous situations. During the last four decades, fruitful results were reported about fault diagnosis and fault-tolerant control methods and their applications in a variety of engineering systems. The three-part survey paper aims to give a comprehensive review for real-time fault diagnosis and fault tolerant control with particular attention on the results reported in the last decade. In the first-part review, fault diagnosis approaches and their applications are reviewed comprehensively from model-based and signal-based perspectives, respectively.

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“…The considered timed PNs have a time semantic [24,25] that is defined according to infinite server as server policy (Assumption A1), where each transition is considered as a server for firings and, in a given marking, each transition may fire simultaneously several times depending on its enabling degree; race as choice policy (Assumption A2), where the transition whose firing time elapses first is assumed to be the one that will fire next; and enabling memory as memory policy (Assumption A3), where, at the entrance in a marking, the remaining durations associated with still enabled transitions are kept and decremented and the remaining durations associated with disabled transitions are forgotten. Note that an interaction may exist between enabling memory and infinite server policies.…”

Section: Pns With Temporal Specificationsmentioning

confidence: 99%

“…An algorithm of linear complexity has been also developed in our previous work that limits the length of the timed measured trajectories under test. It considers measured trajectories within a sliding window of constant size 0 instead of increasing size [25] and leads to an algorithm of linear complexity with respect to . Note also that the complexity with respect to is no longer exponential if the set 0 (TR ) is known (Assumption D).…”

Section: Numerical Complexitymentioning

confidence: 99%

Detection of Temporal Anomalies for Partially Observed Timed PNs

Lefebvre

2017

Mathematical Problems in Engineering

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This article concerns faults detection and isolation for timed stochastic discrete event systems modeled with partially observed timed Petri nets. Events occur according to arbitrary probability density functions. The models include the sensors used to measure events and markings and also the temporal constraints to be satisfied by the system operations. These temporal constraints are defined according to tolerance intervals specified for each transition. A fault is an operation that ends too early or too late. The set of trajectories consistent with a given timed measured trajectory is first computed. Then, the probability that the temporal specifications are unsatisfied is estimated for any sequence of measurements and the probability that a temporal fault has occurred is obtained as a consequence.

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On-Line Fault Diagnosis With Partially Observed Petri Nets

Cited by 48 publications

References 17 publications

Fault Diagnosis and Prognosis With Partially Observed Petri Nets

Fault Diagnosis and Prognosis With Partially Observed Petri Nets

A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches

Detection of Temporal Anomalies for Partially Observed Timed PNs

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