Partial Discharge Denoising Method for Converter Transformer Based on Singular Value Energy Standard Spectrum and Improved TVF-EMD

LI Teng; FAN Peipei; LIAO Jun; JIANG Xinfeng; LU Yixiang

doi:10.13296/j.1001-1609.hva.2025.11.021

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Partial Discharge Denoising Method for Converter Transformer Based on Singular Value Energy Standard Spectrum and Improved TVF-EMD

Research & Analysis | 更新时间：2025-11-04

- Partial Discharge Denoising Method for Converter Transformer Based on Singular Value Energy Standard Spectrum and Improved TVF-EMD
- High Voltage Apparatus Vol. 61, Issue 11, Pages: 221-230(2025)
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- DOI：10.13296/j.1001-1609.hva.2025.11.021
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- Received：09 May 2025，
  
  Revised：2025-07-29，
  
  Published：16 November 2025
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LI Teng, FAN Peipei, LIAO Jun, et al. Partial Discharge Denoising Method for Converter Transformer Based on Singular Value Energy Standard Spectrum and Improved TVF-EMD[J]. High voltage apparatus, 2025, 61(11): 221-230.
DOI：

LI Teng, FAN Peipei, LIAO Jun, et al. Partial Discharge Denoising Method for Converter Transformer Based on Singular Value Energy Standard Spectrum and Improved TVF-EMD[J]. High voltage apparatus, 2025, 61(11): 221-230. DOI： 10.13296/j.1001-1609.hva.2025.11.021.

摘要

针对特高压换流变压器局部放电（partial discharge，PD）信号易受周期性窄带干扰和高斯白噪声污染而影响检测精度的问题，提出一种基于奇异值能量标准谱与改进时变滤波经验模态分解（time varying filtering-based empirical mode decomposition，TVF-EMD）的PD信号混合去噪方法。首先，使用奇异值分解方法对原始含噪PD信号进行分解，通过引入奇异值能量标准谱自适应确定信号的重构阶数并去除窄带干扰；其次，利用TVF-EMD对剩余以白噪声为主要干扰的PD信号进行分解，并以峭度为准则选取有效固有模态分量（intrinsic mode function，IMF）；最后，通过非局部均值（nonlocalmeans，NLM）对含残余噪声的有效IMF进行平滑降噪，经重构得到去噪后的PD信号。对仿真和实测的±1 100 kV特高压换流变压器PD信号进行实验，结果表明该方法能够有效抑制PD信号的复杂噪声，所得结果的评价指标优于其他对比算法。

Abstract

In view of the problem that partial discharge（PD）signals of UHV converter transformer are susceptible to periodic narrow-band interference and Gaussian white noise and affect detection accuracy，in this paper a hybrid denoising method for PD signal based on singular value energy standard spectrum andtime-varying filtering-based empirical mode decomposition（TVF-EMD）is proposed. First，the original noisy PD signal is processed by using singular value decomposition，and the singular value energy standard spectrum is introduced to determine the reconstruction order and remove the narrow-band interference. Then，the PD signal with white noise as the primary interference is decomposed by using TVF-EMD and the kurtosis criterion is used to choose effective intrinsic mode function（IMF）. Finally，the effective IMFs with residual noise are smoothed and reconstructed by nonlocalmeans（NLM）.The denoised PD signal after the reconstruction is obtained. The experiment of PD signal of±1100 kV UHV converter transformer，which is obtained by simulation and real measurement，is performed. The result shows that the method can be able to suppress the complex noise of the PD signal effectively，and the evaluation indexes of the results are superior to other comparison algorithms.

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references

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