A Fault Diagnosis Method of High Voltage Circuit Breaker Based on Moving Contact Motion Trajectory and ELM

被引:23
|
作者
Niu, Weihua [1 ]
Liang, Guishu [2 ]
Yuan, Hejin [1 ]
Li, Baoshu [2 ]
机构
[1] North China Elect Power Univ, Dept Comp, Baoding 071003, Hebei, Peoples R China
[2] North China Elect Power Univ, Dept Elect Engn, Baoding 071003, Hebei, Peoples R China
关键词
EXTREME LEARNING-MACHINE; REGRESSION; PREDICTION;
D O I
10.1155/2016/3271042
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In order to avoid the deficiencies of conventional high voltage circuit breaker mechanical properties detection methods, a new algorithm based on image block matching with diamond search strategy is presented in this paper. The motion of auxiliary mark on the pull rod or shaft is firstly recorded by a high-speed and high-definition digital camera when the circuit breaker is open or close. Then the motion trajectory is acquired through diamond image block matching method. The mechanical parameters, such as travel and open and close velocity, are calculated according to the travel-time curve of the circuit breaker. Finally, evaluation model is constructed taking mechanical parameters characteristic values as inputs of ELM. Comparing to the existing techniques, ourmethod is a noncontact measurement based on computer vision. It is easy and convenient for practical application since it need not any electrical and mechanical connection to the breaker. Another advantage of our method is that it can obtain the line and angle displacement simultaneously. The experiment results on the circuit breaker of 220 kv show that our method is effective for breaker mechanical properties detection.
引用
收藏
页数:10
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