Time-frequency Analysis Method for HF Partial Discharge Signal From Power Transformer Bushing Tap With Signal Propagation Characteristics

LIU Yi; XIE Xiongjie; LUO Xiaoqing; ZHANG Lianxing; DU Zhenbo

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Time-frequency Analysis Method for HF Partial Discharge Signal From Power Transformer Bushing Tap With Signal Propagation Characteristics

更新时间：2025-12-08

- Time-frequency Analysis Method for HF Partial Discharge Signal From Power Transformer Bushing Tap With Signal Propagation Characteristics
- Vol. 46, Issue 2, Pages: 594-602(2020)
- 作者机构：
  
  1. 国网电力科学研究院有限公司
  2. 中国电力科学研究院有限公司
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published Online：29 February 2020，
  
  Published：2020
- 稿件说明：
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LIU Yi, XIE Xiongjie, LUO Xiaoqing, et al. Time-frequency Analysis Method for HF Partial Discharge Signal From Power Transformer Bushing Tap With Signal Propagation Characteristics[J]. 2020, 46(2): 594-602.
DOI：

LIU Yi, XIE Xiongjie, LUO Xiaoqing, et al. Time-frequency Analysis Method for HF Partial Discharge Signal From Power Transformer Bushing Tap With Signal Propagation Characteristics[J]. 2020, 46(2): 594-602. DOI：

摘要

为区分变压器套管末屏高频局部放电信号来源

搭建含了电容屏撕裂缺陷套管和可拆装的针板放电缺陷模型的实验装置

采用在不同位置施加校准脉冲激励和高电压激发缺陷的实验方法

对变压器套管末屏耦合高频脉冲信号进行时频分析

同时比较了基于短时傅里叶变换、同步压缩小波变换、同步提取变换方法的时频图谱对信号传输路径的区分效果

并提出了时频图谱后处理方法。研究表明:利用传输过程对高频局部放电信号时频分析谱图的影响可以区分信号来源;与同步压缩小波变换、短时傅里叶变换相比

同步提取变换产生的时频图谱能更好地区分信号来源。

Abstract

In order to distinguish the high-frequency partial discharge signal coupled from power transformer bushing tap

which generated in a tank or in a bushing

an experimental device containing a bushing with a capacitor shield tearing defect and a detachable needle-plate discharge defect model was constructed. The high-frequency partial discharge signals were generated by applying calibration pulse and high voltage on defects at different positions

and were coupled from power transformer bushing tap. Three methods of time-frequency analysis

based on short-time Fourier transform

synchro squeezed wavelet transform

and synchro extracting transform

were proposed to analyze these signals. The time-frequency spectrum distinguishable effects of three methods were compared

and a time-frequency spectrum post-processing method was proposed. The research shows that the sources of high-frequency partial discharge signals can be distinguished by their time-frequency spectra

which are influenced by transmission paths.Meanwhile

compared to the synchro squeezed wavelet transform

and the short-time Fourier transform. The time-frequency spectra generated by the synchro extracting transform are better for signal sources distinction.

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Related Institution

State Key Laboratory of Power Transmission Equipment Technology (School of Electrical Engineering, Chongqing University)

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