The fault diagnosis for electro-hydraulic servo valve based on the improved genetic neural network algorithm

被引：0
|
作者：
Fu, Lian-Dong [1 ]
Chen, Kui-Sheng [1 ]
Yu, Jun-Sheng [1 ]
Zeng, Liang-Cai [1 ]
机构：
[1] Wuhan Univ Sci & Technol, Coll Machinery & Automat, Wuhan 430081, Peoples R China
来源：
PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2006年
关键词：
genetic algorithm; neural network; fault diagnosis; electro-hydraulic servo valve;
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：
The paper analyzes the merits and drawbacks of the genetic algorithm and BP neural network, combines with the improved genetic algorithm and BP neural network to obtain a new algorithm. The new algorithm is used in the fault diagnosis of electro-hydraulic servo valve and justified its validity, accuracy and rapidity by experiment. The BP algorithm, the conventional GA-BP algorithm and the improved GA-BP algorithm are compared by the data of experiment. It is shown the superiority of the improved GA-BP algorithm in the fault diagnosis field.
引用
收藏
页码：2995 / +
页数：3
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