小波包分析在电气化铁道牵引网故障测距中的应用

The Application of Wavelet Packet Analysis to Electrified Railway Traction Nets Fault Location

参考了小波分析的基础上,采用了小波包分析方法对故障实行定位。由于牵引网故障暂态行波中的高频成分多而复杂,小波分析只能对信号的低频部分进行分解,而没有对高频部分进行分解。于是提出将故障信号经过小波包分析,对高频信号进行了进一步的分解。再结合求导算法和相似性算法对故障信号进行分析。通过实测的数据分析可以得出该方法具有更好的优越性,准确的实现了故障定位。

The wavelet analysis is reference on the basis of the wavelet packet analysis method of fault location. Because traction network fault transient traveling wave include the high frequency component and complex, wavelet analysis can only to signal the low frequency part decomposition, Without the high frequency part of decomposition. So the fault signal after wavelet packet analysis is put forward, the high frequency signal for further decomposition, combine the derived algorithm scheme and similarity algorithm analysis of the fault signal. Through the practical measured data analysis can be concluded that the method has the advantages of better. The fault location is accura- ted realization.