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Energies 2018, 11(3), 509; https://doi.org/10.3390/en11030509

A Novel Partial Discharge Ultra-High Frequency Signal De-Noising Method Based on a Single-Channel Blind Source Separation Algorithm

1
Department of Electrical Engineering, Graduate School of Engineering, Kyoto University, Kyoto 606-8501, Japan
2
School of Electrical Engineering, Wuhan University, Wuhan 430072, China
3
Anhui Grid Co., Anhui Electric Power Research Institute, No.73, Jinzhai Road, Hefei 230022, China
4
School of Electrical and Mechanical Engineering, Pingdingshan University, Southern Section, Weilai Road, Pingdingshan 467000, China
5
State Grid Yichang Power Supply Company, No.117, Yanjiang Avenue, Yichang 443000, China
*
Author to whom correspondence should be addressed.
Received: 21 January 2018 / Revised: 23 February 2018 / Accepted: 24 February 2018 / Published: 27 February 2018
(This article belongs to the Section Electrical Power and Energy System)
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Abstract

To effectively de-noise the Gaussian white noise and periodic narrow-band interference in the background noise of partial discharge ultra-high frequency (PD UHF) signals in field tests, a novel de-noising method, based on a single-channel blind source separation algorithm, is proposed. Compared with traditional methods, the proposed method can effectively de-noise the noise interference, and the distortion of the de-noising PD signal is smaller. Firstly, the PD UHF signal is time-frequency analyzed by S-transform to obtain the number of source signals. Then, the single-channel detected PD signal is converted into multi-channel signals by singular value decomposition (SVD), and background noise is separated from multi-channel PD UHF signals by the joint approximate diagonalization of eigen-matrix method. At last, the source PD signal is estimated and recovered by the l1-norm minimization method. The proposed de-noising method was applied on the simulation test and field test detected signals, and the de-noising performance of the different methods was compared. The simulation and field test results demonstrate the effectiveness and correctness of the proposed method. View Full-Text
Keywords: partial discharge; blind source separation; de-noising performance; multi-channel signal; l1-norm minimization method partial discharge; blind source separation; de-noising performance; multi-channel signal; l1-norm minimization method
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Wei, L.; Liu, Y.; Cheng, D.; Li, P.; Shi, Z.; Huang, N.; Ai, H.; Zhu, T. A Novel Partial Discharge Ultra-High Frequency Signal De-Noising Method Based on a Single-Channel Blind Source Separation Algorithm. Energies 2018, 11, 509.

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