Condition Assessment of High Voltage Circuit Breaker Operating Mechanism Based on Coil Current Waveform

被引:0
|
作者
Duan, Xiaoli [1 ]
Lei, Hongcai [1 ]
Fan, Min [1 ]
Zhao, Lihua [2 ]
Fu, Rongrong [2 ]
Rong, Qiang [3 ]
Zhang, Hao [4 ]
Wang, Zhong [2 ]
机构
[1] State Grid Corp, Hunan Elect Power Res Inst, Changsha 410000, Hunan, Peoples R China
[2] Sichuan Univ, Coll Elect & Informat, Chengdu 610065, Peoples R China
[3] Huawei Corp, Chengdu 610065, Peoples R China
[4] State Grid Corp, Deyang 618000, Peoples R China
关键词
coil current waveform; condition assessment; finite element method; feature and inflection extraction; high voltage circuit breaker; neural network; operating mechanism of circuit breaker; Pearson correlation coefficient; slope method; waveform recognition; SYSTEM;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In order to evaluate the condition of the high voltage circuit breaker (HVCB) operating mechanism, a method based on the coil current (CC) waveform of the operating mechanism has been studied in this paper. A finite element method (FEM) with high accuracy has been used to establish an electromagnetic system model of the operating mechanism. The effects of the mechanical parameter variations and mechanism faults on the CC waveform have been studied by simulation and experimental studies, and the features and inflections of the CC waveform are determined as the evaluation indices of the mechanism. Then the slope method has been used to extract features and inflections of the CC waveform after filtering, and the CC features are optimized by Pearson correlation coefficient method. Finally, the condition of the HVCB operating mechanism has been evaluated by the combination of the waveform recognition and neural network analysis. It has been concluded that the evaluation results can accurately reflect the operation condition of the HVCB operating mechanism.
引用
收藏
页码:207 / 212
页数:6
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