The research on Ant Colony Algorithm-Neural Networks model in fault diagnosis of Asynchronous Motor

被引：0
|
作者：
Cheng, Jia-tang [1 ]
Ai, Li [1 ]
Xu, Shao-kun [1 ]
机构：
[1] Honghe Univ Mengzi, Coll Engn, Mengzi, Peoples R China
来源：
ADVANCES IN POWER AND ELECTRICAL ENGINEERING, PTS 1 AND 2 | 2013年 / 614-615卷
关键词：
asynchronous motor; fault fiagnose; ant colony algorithm; neural network;
D O I：
10.4028/www.scientific.net/AMR.614-615.1625
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In order to improve the accuracy of fault diagnosis of asynchronous motor, neural network model combined with ant colony algorithm is presented. Taken the mean square error as objective function, then the weights and threshold values are optimized through multiple generation computation of ant colony, and the fault diagnosis is accomplished via the optimized neural network. The simulation results show that the algorithm is to overcome the slow convergence, easy to fall into local minimum problem of BP network, and achieve good diagnosis.
引用
收藏
页码：1625 / 1628
页数：4
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