Diagnosis and identification of fault waveform of power

被引：0
|
作者：
He Youquan [1 ]
机构：
[1] Chongqing Jiaotong Univ, Comp & Informat Dept, Chongqing 400074, Peoples R China
来源：
2008 THIRD INTERNATIONAL CONFERENCE ON ELECTRIC UTILITY DEREGULATION AND RESTRUCTURING AND POWER TECHNOLOGIES, VOLS 1-6 | 2008年
关键词：
chaos; fault diagnosis; fractal dimension; high frequency transient;
D O I：
10.1109/DRPT.2008.4523675
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：
The waveform of power system's parameter is related closely to its status, it can reflects and foresees that curtain status and fault will occur in power system. In this paper chaos and fractal theory is used to analyze parameter waveform, abstract characteristic value, build standard model library about parameter waveform, and analysis overall and evaluate property of power system. To power system' fault waveform characteristic, A new identification algorithm -fractal dimension and average value density is proposed. This algorithm can recognize all kinds of fault waveform effectively, thus analysis result can he used faulty diagnosis and status property monitor of power system.
引用
收藏
页码：1678 / 1682
页数：5
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