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Communication Dans Un Congrès Année : 2021

Model-Based Diagnosis of Time Shift Failures in Discrete Event Systems: A (Max,+) Observer-Based Approach

Résumé

This paper addresses the problem of diagnosing the occurrence of time shift failures in systems like automated production lines. The model of the system is represented as a Timed Event Graph (TEG) that is characterized as a (max,+)-linear system. The proposed method aims at detecting and localizing the source of time shift failures by the design of a set of indicators. These indicators rely on the residuation theory on (max,+)-linear systems and a (max,+) observer that estimates the internal state of the observed system.
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hal-03332445 , version 1 (02-09-2021)

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Claire Paya, Euriell Le Corronc, Yannick Pencolé, Philippe Vialletelle. Model-Based Diagnosis of Time Shift Failures in Discrete Event Systems: A (Max,+) Observer-Based Approach. 13th KES-IDT 2021 Conference : Intelligent Decision Technology, Jun 2021, virtual conference center, Italy. pp.545-555, ⟨10.1007/978-981-16-2765-1_45⟩. ⟨hal-03332445⟩
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