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Insulator Partial Discharge Localization Based on Improved Wavelet Packet Threshold Denoising and Gxx-β Generalized

Hongxin Ji¹, Zijian Tang¹, Chao Zheng¹

¹School of Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China.

Sensors (Basel, Switzerland)

|July 12, 2025

Summary

This summary is machine-generated.

Accurate partial discharge (PD) source localization in power systems is improved using wavelet packet denoising and a novel Gxx-β algorithm. This method enhances signal quality and time difference estimation, achieving high localization accuracy for engineering applications.

Keywords:

generalized cross-correlation localization partial discharge ultra-high frequency wavelet packet

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Area of Science:

Electrical Engineering
Signal Processing
Power Systems

Background:

Partial discharge (PD) degrades insulation and can cause power system failure.
Accurate PD source localization is challenging due to significant field noise interference.

Purpose of the Study:

To propose a 3D spatial localization method for PD sources using a four-element ultra-high-frequency (UHF) array.
To enhance PD signal denoising and time-of-arrival estimation for improved localization accuracy.

Main Methods:

Wavelet packet decomposition and an improved threshold function for PD signal denoising.
Gxx-β generalized cross-correlation algorithm with an improved weighting function for time difference calculation.
Analysis of sensor array configurations and PD source positions for optimal localization.

Main Results:

The improved wavelet packet denoising effectively separates PD signals from noise, increasing SNR with low distortion.
The enhanced Gxx-β weighting function significantly improves the accuracy of time difference estimation between UHF sensors.
The proposed method achieved a relative localization error of 3.46% and an absolute error within 6 cm.

Conclusions:

The developed method offers effective PD source localization in noisy environments.
The combination of advanced denoising and cross-correlation algorithms meets engineering application requirements for accuracy and reliability.