PURIFYING AND DE-NOISING SIGNALS USING WAVELET ANALYSIS IN ACOUSTICEMISSION DETECTION OF DISCHARGES

WANG Cheng-Jiang; SHU Nai-qiu

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PURIFYING AND DE-NOISING SIGNALS USING WAVELET ANALYSIS IN ACOUSTICEMISSION DETECTION OF DISCHARGES

更新时间：2025-04-26

- PURIFYING AND DE-NOISING SIGNALS USING WAVELET ANALYSIS IN ACOUSTICEMISSION DETECTION OF DISCHARGES
- High VoltageApparatus Issue 6, Pages: 8-10(2003)
- 作者机构：
  
  1.   三峡大学电气信息学院
  2.   武汉大学电气工程学院湖北宜昌 443002
  3.   湖北武汉 430072
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM764
- Published：2003
- 稿件说明：
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[1]王成江,舒乃秋.放电声发射波的小波提纯与消噪[J].高压电器,2003(06):8-10.

WANG Cheng-Jiang, SHU Nai-qiu. PURIFYING AND DE-NOISING SIGNALS USING WAVELET ANALYSIS IN ACOUSTICEMISSION DETECTION OF DISCHARGES[J]. High voltageapparatus, 2003, (6): 8-10.
[1]王成江,舒乃秋.放电声发射波的小波提纯与消噪[J].高压电器,2003(06):8-10. DOI：

WANG Cheng-Jiang, SHU Nai-qiu. PURIFYING AND DE-NOISING SIGNALS USING WAVELET ANALYSIS IN ACOUSTICEMISSION DETECTION OF DISCHARGES[J]. High voltageapparatus, 2003, (6): 8-10. DOI：

摘要

研究了放电声发射波检测中用小波分析进行信号提纯与消噪的实现问题

包括选择小波、选择小波分解层数、提取有用频段的小波系数、小波消噪过程、小波消噪中的阈值选取

以及对提纯的放电声发射波进行小波消噪等。两组实测信号的小波提纯与消噪结果证明了信号提纯与消噪的优越性。

Abstract

It is studied that how to use wavelet analysis to purify and de-noise signals in acoustic emission detection of discharges

including how to choose the wavelet and the level of wavelet decomposition

how to identify the wavelet coefficient of useful frequency band

how to choose the de-noising threshold and how to de-noise the purified acoustic emission wave of discharges. Two examples show the advantage of purifying and de-noising signals using wavelet analysis in acoustic emission detection of discharges.

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