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基于机械振动信号的高压真空断路器故障诊断研究
引用本文:赵洋,刘汉宇,曾庆军.基于机械振动信号的高压真空断路器故障诊断研究[J].高压电器,2010,46(2).
作者姓名:赵洋  刘汉宇  曾庆军
作者单位:江苏科技大学电子信息学院,江苏,镇江,212003
基金项目:江苏省科技攻关计划项目(BE2006086)
摘    要:提出一种基于小波-包络谱能量提取振动信号特征并进行故障诊断的新方法。首先应用小波分析对振动信号进行降噪处理,然后与希尔伯特变换相结合,提取振动信号的低频和高频包络,最后对包络信号进行谱分析及能量特征提取。实验结果表明,该方法对提取高压真空断路器机械振动信号的特征是有效的,可为故障诊断提供依据。

关 键 词:高压真空断路器  振动信号  小波分析  希尔伯特变换  包络谱

Study on Fault Diagnosis of High Voltage Vacuum Circuit Breaker Based on Mechanical Vibration Signal
ZHAO Yang,LIU Han-yu,ZENG Qing-jun.Study on Fault Diagnosis of High Voltage Vacuum Circuit Breaker Based on Mechanical Vibration Signal[J].High Voltage Apparatus,2010,46(2).
Authors:ZHAO Yang  LIU Han-yu  ZENG Qing-jun
Affiliation:School of Electronics and Information;Jiangsu University of Science and Technology;Zhenjiang 212003;China
Abstract:A new method based on wavelet-envelope spectrum energy for extracting vibration signals characteristics and making fault diagnosis of high voltage vacuum circuit breaker is presented in this paper.Firstly,the vibration signals are de-noising by wavelet analysis method.Then the envelope of low frequency and high frequency signals are extracted by wavelet analysis combined with Hilbert transformation.Lastly,the spectral analysis and energy characteristics extraction for envelope signals are completed.The expe...
Keywords:high voltage vacuum circuit breaker  vibration signal  wavelet analysis  Hilbert transformation  envelope spectrum  
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