An inferencing structure for MPO‐based decentralized dynamic fault diagnosis
| Autor: | Malihe M. Farsangi, Milad Khaleghi, Ali Karimoddini, Mojtaba Barkhordari Yazdi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Human-Computer Interaction
Structure (mathematical logic) Control and Optimization Control engineering systems. Automatic machinery (General) Control and Systems Engineering Control theory Computer science TJ212-225 Electrical and Electronic Engineering Fault (power engineering) Computer Science Applications |
| Zdroj: | IET Control Theory & Applications, Vol 16, Iss 2, Pp 182-191 (2022) |
| ISSN: | 1751-8644 1751-8652 |
| Popis: | This paper addresses the problem of fault diagnosis in discrete event systems through a decentralized structure. Within the proposed decentralized diagnosis structure, local most permissive bbservers (MPOs) are employed as diagnosis tools, and an effective protocol is proposed to coordinate local MPOs to infer diagnosis information. It is shown that the proposed technique can diagnose fault occurrences subjected to proper sensing decisions. A sufficient condition on sensing decision policies is derived for diagnosis of faults in a decentralized setting. Further, it is proven that the proposed decentralized structure has less complexity than a centralized structure. The details of the proposed technique are illustrated by applying the developed method to a manufacturing system. |
| Databáze: | OpenAIRE |
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