Multi-agent systems for model-based fault diagnosis

被引：0

作者：

Ren, X ^{[1
]}

Hargrave, SM ^{[1
]}

Thompson, HA ^{[1
]}

Fleming, PJ ^{[1
]}

机构：

[1] Univ Sheffield, Dept Automat Control & Syst Engn, Sheffield S1 3JD, S Yorkshire, England

来源：

NEW TECHNOLOGIES FOR COMPUTER CONTROL 2001 | 2002年

关键词：

intelligent agents; model-based fault diagnosis; fuzzy inference systems;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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. Copyright (C) 2001 IFAC.

引用

页码：95 / 100

页数：6

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