基于小波分解方法的暂态选线分析  

Transient Fault Line Selection Based on Wavelet Decomposition

作　　者：金智庆 

机构地区：[1]中国铁建电气化局集团

出　　处：《山西科技》2012年第3期33-34,37,共3页Shanxi Science and Technology

摘　　要：在小波理论的基础上,提出了基于故障暂态电流α模分量突变量的故障选线方法。根据小波理论善于处理突变信号的特点,并利用小波理论对暂态信号进行分析,由分解后的小波系数构成的综合故障测度进行选线。大量的仿真试验证明,此选线方法可以很好地对故障线路进行选择。Based on the theory of wavelet decomposition, the paper proposes the fault line selection based on the sudden change of the transient current of component. According to the characteristics of the wavelet theory handling the signals of sudden changes, the paper further analyzes the transient signals with the help of wavelet theory and selects the fault line based on the comprehensive faults composed of the decomposed wavelet coefficient, which is proved to be efficient by lots of simulation experiments.

关 键 词：小波理论 故障暂态分量 故障选线 

分 类 号：TM645[电气工程—电力系统及自动化]