Open AccessAn inferencing structure for MPO‐based decentralized dynamic fault diagnosis
Author(s) -
Khaleghi Milad,
Barkhordari Yazdi Mojtaba,
Karimoddini Ali,
Maghfoori Farsangi Malihe
Publication year - 2022
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/cth2.12215
Subject(s) - fault (geology) , computer science , protocol (science) , event (particle physics) , decentralised system , distributed computing , data mining , artificial intelligence , control (management) , medicine , alternative medicine , pathology , seismology , geology , physics , quantum mechanics
Abstract 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.