摘要
采用小波包(WP)的方法先对现场采集的、噪声干扰较大的信号进行消噪处理,选取目的频带信号;再用奇异值分解(SVD)方法求解修正Yule-walker方程,估计AR参数及其阶数,进行双谱分析,提取机械性能判据对断路器进行在线故障诊断。经对多组不同时期的现场数据分析、对比,得出该方法可行有效,可为高压断路器实时在线故障诊断提供有效依据。
The mechanical vibration signals with noises interference, sampled in site, are de-noised with WP （wavelet package） method to achieve the aim frequency band. Then with the Levinson-durbin solution, the parameters of AR model are obtained in the Yule-walker equation. The high order spectrum analysis is then used to deal with the parameters, which provides the dual spectrum results for the proof of on-line fault diagnosis of circuit breaker. The analysis of field data shows that this method is feasible and efficient to provides a good means foron on-line fault diagnosis of CB.
出处
《高压电器》
CAS
CSCD
北大核心
2009年第4期137-141,共5页
High Voltage Apparatus
关键词
断路器
小波包
AR模型
高阶谱
故障诊断
circuit breaker（CB）
wavelet package
AR model
high order spectrum
fault diagnosis
