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.
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页码：32 / 37+76
相关论文
共 41 条
[31]   An adaptive threshold value noise suppression method for detecting partial discharge of power cables based on variational mode decomposition [J].
Ma X. ;
Zhu H. ;
Liu Z. ;
Zhang D. .
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2019, 47 (23) :145-151
[32]   Test and Study of 10kV XLPE Power Cables' Typical Defects Based on Oscillating Wave Test System [J].
Chen Zhijuan ;
Liu Gang ;
Chen Chengwei ;
Lu Guojun .
CONFERENCE RECORD OF THE 2010 IEEE INTERNATIONAL SYMPOSIUM ON ELECTRICAL INSULATION (ISEI), 2010,
[33]   An Improved Variable-Frequency Series Resonant System for PD Detection of MV Power Cables Based on DAC Technology [J].
Zhao, Xuefeng ;
Lin, Tao ;
Lu, Yuxin ;
Chen, Yufei .
2019 IEEE ASIA POWER AND ENERGY ENGINEERING CONFERENCE (APEEC 2019), 2019, :14-17
[34]   Hybrid Long- and Short-Packet Based NOMA Systems With Joint Power Allocation and Beamforming Design [J].
Vu, Thai-Hoc ;
Nguyen, Toan-Van ;
Pham, Quoc-Viet ;
da Costa, Daniel Benevides ;
Kim, Sunghwan .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2023, 72 (03) :4079-4084
[35]   PD location method of power cable based on wavelet transform modulus maxima considering wave characteristics [J].
Gao S. ;
Liu H. ;
Fan H. ;
Pei S. ;
Liu Y. ;
Pan J. ;
Wang Z. .
Dianwang Jishu/Power System Technology, 2016, 40 (07) :2244-2250
[36]   Research on Power-line Interference Removal Method of Ultraviolet Communication Signal Based on Wavelet Transform [J].
Song Peng ;
Tan Yumei ;
Li Xuehua ;
Guo Hua ;
Zhang Lijian .
ACTA PHOTONICA SINICA, 2021, 50 (07)
[37]   Data Mining Based on DC Bias on-line Monitoring System of Shangai Power Grid [J].
Wu Tianyi ;
Chen Lu .
2017 IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2), 2017,
[38]   Feature extraction based on time-series topological analysis for the partial discharge pattern recognition of high-voltage power cables [J].
Sun, Kang ;
Li, Rui ;
Zhao, Laijun ;
Li, Ziqiang .
MEASUREMENT, 2023, 217
[39]   AI-driven single-end partial discharge localization in power cables based on time domain reflectometry and transfer function analyses [J].
Shamsoddini, Morteza ;
Lan, Tongkun ;
Ko, Seokbum ;
Chung, Chi Yung .
ELECTRIC POWER SYSTEMS RESEARCH, 2025, 245
[40]   De-noising for Partial Discharge Signals of Power Transformers Using Wavelet Threshold Method based on Ant Colony Optimization [J].
Jiang, Tianyan ;
Chen, Xi ;
Bi, Maoqiang ;
Liu, Qiang .
2016 IEEE INTERNATIONAL CONFERENCE ON HIGH VOLTAGE ENGINEERING AND APPLICATION (ICHVE), 2016,
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