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

Liangliang Wei, Yushun Liu, Dengfeng Cheng, Pengfei Li, Zhifeng Shi, Nan Huang, Hongtao Ai and Tianan Zhu
Additional contact information
Liangliang Wei: Department of Electrical Engineering, Graduate School of Engineering, Kyoto University, Kyoto 606-8501, Japan
Yushun Liu: Anhui Grid Co., Anhui Electric Power Research Institute, No.73, Jinzhai Road, Hefei 230022, China
Dengfeng Cheng: Anhui Grid Co., Anhui Electric Power Research Institute, No.73, Jinzhai Road, Hefei 230022, China
Pengfei Li: School of Electrical and Mechanical Engineering, Pingdingshan University, Southern Section, Weilai Road, Pingdingshan 467000, China
Zhifeng Shi: State Grid Yichang Power Supply Company, No.117, Yanjiang Avenue, Yichang 443000, China
Nan Huang: State Grid Yichang Power Supply Company, No.117, Yanjiang Avenue, Yichang 443000, China
Hongtao Ai: State Grid Yichang Power Supply Company, No.117, Yanjiang Avenue, Yichang 443000, China
Tianan Zhu: State Grid Yichang Power Supply Company, No.117, Yanjiang Avenue, Yichang 443000, China

Energies, 2018, vol. 11, issue 3, 1-18

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 l 1 -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.

Keywords: partial discharge; blind source separation; de-noising performance; multi-channel signal; l 1 -norm minimization method (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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