Multi-Agent Systems for Model-based Fault Diagnosis

Autor:	Peter J. Fleming, Haydn A. Thompson, X. Ren, S.M. Hargrave
Rok vydání:	2001
Předmět:	Structure (mathematical logic) Gas turbines Engineering Process (engineering) business.industry Multi-agent system Control engineering Hardware_PERFORMANCEANDRELIABILITY Fault (power engineering) computer.software_genre Fuzzy logic Intelligent agent Isolation (database systems) business computer
Zdroj:	IFAC Proceedings Volumes. 34:83-88
ISSN:	1474-6670
Popis:	Model-based methods are commonly used for fault diagnosis. But for modern complex processes, the analytical model of the overall process is not usually available. In this paper, a multi-agent framework for distributed fault diagnosis and isolation is proposed. The distributed fault diagnosis and isolation is achieved by a group of cooperative intelligent agents. The structure of the multi-agent framework is described. The learning algorithms employed by agents for building the fuzzy analytical model of the local process is detailed. The implementation of this agent-based approach on aero gas turbine engine fault diagnosis is also discussed.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::84f49be5ba60b4522e565135aec3502e https://doi.org/10.1016/s1474-6670(17)32917-8 Zobrazit plný text záznamu