Fault diagnosis based on qualitative bond graph and genetic algorithms

被引:0
|
作者
Lo, CH [1 ]
Wong, YK [1 ]
Rad, AB [1 ]
Ip, YL [1 ]
机构
[1] Hong Kong Polytech Univ, Dept Elect Engn, Kowloon, Hong Kong, Peoples R China
来源
NEW TECHNOLOGIES FOR COMPUTER CONTROL 2001 | 2002年
关键词
artificial intelligence; bond graphs; fault diagnosis; fault location; genetic algorithms;
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
Most of the engineering systems now become more complex and sophisticated, reliability and safety turn into an important issues when operating these systems. In this paper, genetic algorithms are proposed to search for possible fault components among a system of qualitative equations. Qualitative bond graph is adopted as the modeling scheme to generate a set of qualitative equations. Results from diagnosing faults in the floating disc system will be presented and discussed. Fault diagnosis is activated by fault detection mechanism when a discrepancy between measured abnormal behavior and predicted system behavior is observed. Copyright (C) 2001 IFAC.
引用
收藏
页码:401 / 406
页数:6
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