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Effective Denoising of Multi-Source Partial Discharge Signals via an Improved Power Spectrum Segmentation Method

Baojia Chen1, Kaiwen Li2, Yipeng Guo1

  • 1Hubei Key Laboratory of Hydroelectric Machinery Design and Maintenance, China Three Gorges University, Yichang 443002, China.

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Summary

This study introduces an improved power spectrum segmentation (IPSK) method for partial discharge analysis in complex transformers. IPSK effectively suppresses noise, enabling precise characterization of composite partial discharge signatures.

Keywords:
improved power spectrum segmentationmulti-source partial dischargepower spectral kurtosistransformer

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Area of Science:

  • Electrical Engineering
  • Signal Processing
  • Power Systems

Background:

  • Traditional partial discharge (PD) analysis methods struggle with complex transformer structures.
  • Existing techniques face limitations in accurately characterizing composite PD signatures.

Purpose of the Study:

  • To propose an improved power spectrum segmentation (IPSK) method for precise PD signature characterization.
  • To overcome the limitations of traditional single-source PD signal-processing techniques in complex transformers.

Main Methods:

  • Utilizing normalized power spectral kurtosis for parameter selection.
  • Implementing an improved power spectrum segmentation method to identify low-noise frequency bands.
  • Reconstructing instantaneous signal components via inverse fast Fourier transform.

Main Results:

  • The proposed IPSK method demonstrates a significant noise suppression effect.
  • IPSK achieves precise characterization of composite PD signatures in simulated and measured data.
  • Comparative analysis shows IPSK outperforms EWT, AEFD, VMD, and CEEMDAN in noise reduction.

Conclusions:

  • The IPSK method offers a robust solution for PD analysis in complex transformer systems.
  • IPSK enhances the accuracy and reliability of PD signature identification.
  • This approach is crucial for effective transformer insulation monitoring and maintenance.