Power Grid Fault Diagnosis Based on Fault Information Coding and Fusion Method

被引:0
|
作者
Zhao, Jinyong [1 ]
Wei, Yanfei [1 ]
Liu, Jie [1 ]
Wei, Shutong [1 ]
Wang, Zhongguo [1 ]
Ke, Yang [2 ]
Deng, Xiangli [2 ]
机构
[1] State Grid Dezhou Power Supply Co, Jinan, Shandong, Peoples R China
[2] Shanghai Univ Elect Power, Elect Power Engn, Shanghai, Peoples R China
关键词
fault diagnosis; wavelet transform; fault coding; clustering decision;
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
Considering the differences of fault characteristics in the process of fault diagnosis, the paper proposes power grid fault diagnosis method based on integrated fault degree. This method firstly, the wavelet transform is used for electric parameters amplitude and energy characteristics of the information analysis, extract the key indicators; then, according to the amount of the digital information from remote communication system, calculating coding similarity by using fault coding theory; finally, determine integrated fault degree by using the improved D-S evidence theory and finding finally fault line by improved k-means clustering method. The simulation results show that the proposed scheme improves the accuracy of diagnosis, and has good application prospects.
引用
收藏
页数:6
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