RESEARCH OF PD SIGNAL MONITORING USING WAVELET MEAN SQUARE SPECTRUM

ZHAO Zhongyuan  1; QIU Yuchang  1; WANG Jiansheng  2

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RESEARCH OF PD SIGNAL MONITORING USING WAVELET MEAN SQUARE SPECTRUM

更新时间：2025-05-23

- RESEARCH OF PD SIGNAL MONITORING USING WAVELET MEAN SQUARE SPECTRUM
- High VoltageApparatus Issue 2, Pages: 12-13+17(2001)
- 作者机构：
  
  1. 西安交通大学电气工程学院,陕西,西安,710049
  2. 西安高压电器研究所,陕西,西安,710077
  3. 西安交通大学电气工程学院!陕西西安710049西安高压电器研究所,陕西,西安,710077
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM835.4
- Published：2001
- 稿件说明：
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[1]赵中原,邱毓昌,王建生.小波均方谱及其在局放信号监测中的应用研究[J].高压电器,2001(02):12-13+17.

ZHAO Zhongyuan 1, QIU Yuchang 1, WANG Jiansheng 2. RESEARCH OF PD SIGNAL MONITORING USING WAVELET MEAN SQUARE SPECTRUM[J]. High voltageapparatus, 2001, (2): 12-13+17.
[1]赵中原,邱毓昌,王建生.小波均方谱及其在局放信号监测中的应用研究[J].高压电器,2001(02):12-13+17. DOI：

ZHAO Zhongyuan 1, QIU Yuchang 1, WANG Jiansheng 2. RESEARCH OF PD SIGNAL MONITORING USING WAVELET MEAN SQUARE SPECTRUM[J]. High voltageapparatus, 2001, (2): 12-13+17. DOI：

摘要

应用小波均方谱对仿真局放信号进行了分析

得到了一个二维的时间—尺度等能量分布图。计算仿真结果与FFT频谱图相比较

表明小波均方谱具有良好的时频特性

即有多分辨率分析的能力

并且能良好地抑制噪声

Abstract

In this paper

the analysis of simulating PD signals is done by using wavelet mean square spectrum

and the equal energy distribution on the two dimensional time—ruler is obtained. Compared to FFT frequency spectrogram

the result of computer simulation states that wavelet mean square spectrum has better time frequency characteristics with multi resolution analysis and lower sensitivity to the noises

which makes it better depress the noises.

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