BP neural network-based on fault diagnosis of hydraulic servo-valves

被引：0
|
作者：
Huang, H [1 ]
Chen, KS [1 ]
Zeng, LC [1 ]
机构：
[1] Wuhan Univ Sci & Technol, Coll Machinery & Automat, Wuhan 430081, Peoples R China
来源：
PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9 | 2005年
关键词：
BP neural network; genetic algorithm; hydraulic servo-valve; fault diagnosis;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a new approach for fault diagnosis of hydraulic servo -valves with the BP neural network based on genetic algorithm. The paper uses a known set of faults as the output to the valve-behavior model. An appropriate neural network is established to be the best solution to the problem. Adoption of this approach brings about advantages of shortening training time and high-accuracy when compared with other artificial neural network.
引用
收藏
页码：4100 / 4105
页数：6
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