Second generation wavelet packet based mining power cables

被引：0

作者：

机构：

[1] State Key Laboratory of Electrical Insulation and Power Equipment, Xi'an Jiaotong University

来源：

Liang, D. | 1600年 / Xi'an Jiaotong University卷 / 47期

关键词：

Mining power cables; On-line monitoring; Optimized wavelet packet; Partial discharge; Signal-to-noise ratio;

D O I：

10.7652/xjtuxb201312006

中图分类号：

学科分类号：

摘要：

To improve the signal-to-noise ratio (SNR) of the partial discharge (PD) signal and accurately extract the PD pulses, second generation wavelet transform packet is proposed for effective denoising of the partial discharge data obtained from on-line monitoring of mining power cables. Noting the advantage of statistical properties of white noise, the variance is taken as the criterion to search the best wavelet packet tree. Compared with Shannon entropy, log energy entropy, SURE entropy and NORM entropy, the threshold entropy is able to restore PD signal from noise polluted data with very low SNR, the root mean square error and amplitude error approach to 8.792 4×10-4 and 0.0211, respectively. In the denoised PD signal remaining the original characteristics, the slight interferences are filtered out.

引用

页码：32 / 37+76