Study of Hybrid Intelligent Fault Diagnosis

被引：0
|
作者：
Lou, Guohuan [1 ]
Zhou, Yuan [1 ]
Yao, Zheng [1 ]
机构：
[1] Hebei Polytech Univ, Coll Comp & Automat Control, Tangshan, Peoples R China
来源：
2010 2ND INTERNATIONAL ASIA CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS (CAR 2010), VOL 1 | 2010年
关键词：
fault diagnosis; genetic neural network; fuzzy fault tree;
D O I：
10.1109/CAR.2010.5456876
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A hybrid intelligent fault diagnosis method is presented for the diversity, uncertainty and complexity of device faults. This method integrates respective advantages of fault tree, fuzzy theory, neural networks and genetic algorithms to form a hybrid approach and is applied to fault diagnosis of fan. Experiments show that this method is simple and effective. It can also be applied to other fault diagnosis of complex systems and has certain portability.
引用
收藏
页码：174 / 177
页数：4
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