Fault detection and diagnosis in distributed systems: An approach by partially stochastic Petri nets

DOI10.1023/A:1008241818642zbMath0916.93074OpenAlexW1564425416MaRDI QIDQ1273383

Renée Boubour, Claude Jard, Eric Fabre, Armen Aghasaryan, Albert Benveniste

Publication date: 19 July 1999

Published in: Discrete Event Dynamic Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1008241818642

zbMATH Keywords

independencestate estimationdiagnosisconcurrencylarge distributed systemalarm correlationcausality graphfaulty systempartially stochastic Petri nets

Mathematics Subject Classification ID

Reliability, availability, maintenance, inspection in operations research (90B25) Estimation and detection in stochastic control theory (93E10) Models and methods for concurrent and distributed computing (process algebras, bisimulation, transition nets, etc.) (68Q85) Control/observation systems governed by functional relations other than differential equations (such as hybrid and switching systems) (93C30)

Related Items (9)

Fault diagnosis in discrete event systems modeled by partially observed Petri nets ⋮ Diagnosability of discrete event systems with modular structure ⋮ Hierarchical fault diagnosis for discrete-event systems under global consistency ⋮ Stochastic DES fault diagnosis with coloured interpreted Petri nets ⋮ Diagnosability of fault patterns with labeled stochastic Petri nets ⋮ Algebraic approach for model decomposition: Application to fault detection and isolation in discrete-event systems ⋮ Realizability of Schedules by Stochastic Time Petri Nets with Blocking Semantics ⋮ Model-Based Diagnosis with Probabilistic Models ⋮ Control of safe ordinary Petri nets using unfolding

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