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Partial Discharge Detection Method Based on DD-DT CWT and Singular Value Decomposition

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Abstract

Partial discharge (PD) detection is significant for insulation condition evaluation of electrical equipment. However, it often happens that the PD signals are submerged by interferences, which will cause the inaccurate detection results. In this paper, we propose a PD detection method based on double-density dual-tree complex wavelet transform (DD-DT CWT) and singular value decomposition (SVD) to solve this problem. The denoising method based on DD-DT CWT has better performance in both removing interferences and retaining features of PD signals. The inner product of the singular value matrix obtained by applying SVD to denoised high-frequency wavelet coefficient matrix can concisely represent the complexity of the tested signal, which can be used as a basis to judge the existence of the PD signal. Besides, Otsu algorithm is introduced to calculate the threshold to locate the appearance time of the PD signal. Experimental results show that the proposed method can detect the PD signal with the accuracy rate of 77.8% when PD signals are submerged by noises, while the traditional method cannot detect the existence of the PD signal. In addition, only the method proposed in this paper can detect the appearance time of the PD signal with the accuracy rate of 97.2%.

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Acknowledgements

This work is financially supported by the National Key Research and Development Program (No. 2018YFB2100100). Thanks Yunnan Power Grid Corporation for providing the experimental equipment, instruments and technical support.

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Authors and Affiliations

  1. State Key Laboratory of Power Transmission Equipment and System Security and New Technology, Chongqing University, Chongqing, China

    Chao Wu, Kai Wang & Ping Wang

  2. School of Electrical Engineering, Xi’an Jiaotong University, Xi’an, China

    Yiran Gao

  3. Faculty of Science and Technology, University of Macau, Macao, China

    Ruoyan Wang

  4. Yunnan Key Laboratory of Green Energy, Electric Power Measurement Digitalization, Control and Protection, Yunnan Power Grid Co., Ltd, Kunming, China

    Siyang Liu & Yongjie Nie

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  1. Chao Wu
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  2. Yiran Gao
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  4. Kai Wang
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  5. Siyang Liu
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  6. Yongjie Nie
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  7. Ping Wang
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Correspondence to Ping Wang.

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Wu, C., Gao, Y., Wang, R. et al. Partial Discharge Detection Method Based on DD-DT CWT and Singular Value Decomposition. J. Electr. Eng. Technol. 17, 2433–2439 (2022). https://doi.org/10.1007/s42835-022-01081-8

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  • DOI: https://doi.org/10.1007/s42835-022-01081-8

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