Research on Fault Diagnosis Method Based on CBR and Rough Set Theory

被引：0
|
作者：
Yuan, Chun-fei [1 ]
Cai, Jing [2 ]
Xu, Yi-ming [2 ]
机构：
[1] AVIC Aviat Motor Control Syst Inst, Wuxi 214063, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Civil Aviat Coll, Nanjing 210016, Peoples R China
来源：
PROGRESS IN CIVIL ENGINEERING, PTS 1-4 | 2012年 / 170-173卷
基金：
中国国家自然科学基金;
关键词：
Fault Diagnosis; CBR; Rough Set;
D O I：
10.4028/www.scientific.net/AMM.170-173.3644
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
Modern fault diagnosis system always is a dynamic, flexible and uncertain complicated system, so many fault diagnosis methods are not effective to determine fault causes. Considering that abundant of fault diagnosis cases have been accumulated in daily maintenance work, a fault diagnosis method based on case-based reasoning (CBR) and rough set theory is proposed. Rough set theory is employed to process reduction on attributes and the weighting coefficient of case description attributes. This method makes full use of the advantage of" let the data speak". At last the method is testified by an example, and the result shows it is feasible and effective.
引用
收藏
页码：3644 / +
页数：2
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