TY - JOUR
T1 - Second generation wavelet packet based mining power cables
AU - Tang, Ming
AU - Liang, Deliang
AU - Wang, Qingshan
AU - Liu, Xiang
PY - 2013/12
Y1 - 2013/12
N2 - 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.
AB - 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.
KW - Mining power cables
KW - On-line monitoring
KW - Optimized wavelet packet
KW - Partial discharge
KW - Signal-to-noise ratio
UR - https://www.scopus.com/pages/publications/84891960432
U2 - 10.7652/xjtuxb201312006
DO - 10.7652/xjtuxb201312006
M3 - 文章
AN - SCOPUS:84891960432
SN - 0253-987X
VL - 47
SP - 32-37+76
JO - Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University
JF - Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University
IS - 12
ER -