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

Author

Listed:
  • Liangliang Wei

    (Department of Electrical Engineering, Graduate School of Engineering, Kyoto University, Kyoto 606-8501, Japan
    School of Electrical Engineering, Wuhan University, Wuhan 430072, China)

  • 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)

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.

Suggested Citation

  • Liangliang Wei & Yushun Liu & Dengfeng Cheng & Pengfei Li & Zhifeng Shi & Nan Huang & Hongtao Ai & Tianan Zhu, 2018. "A Novel Partial Discharge Ultra-High Frequency Signal De-Noising Method Based on a Single-Channel Blind Source Separation Algorithm," Energies, MDPI, vol. 11(3), pages 1-18, February.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:3:p:509-:d:133729
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    Cited by:

    1. Linao Li & Xinlao Wei, 2022. "Power Interference Suppression Method for Measuring Partial Discharges under Pulse Square Voltage Conditions," Energies, MDPI, vol. 15(9), pages 1-15, May.

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