| 引用本文: | 李建鹏,赵书涛,夏燕青.基于双谱和希尔伯特-黄变换的断路器故障诊断方法[J].电力自动化设备,2013,33(2): |
| LI Jianpeng,ZHAO Shutao,XIA Yanqing.Fault diagnosis based on bispectrum and Hilbert-Huang transform for circuit breaker[J].Electric Power Automation Equipment,2013,33(2): |
|
| 摘要: |
| 通过对断路器正常合闸和异常合闸时的声波进行双谱分析，发现声波的高频分量能量分布能够体现断路器的工作状态。通过希尔伯特-黄变换分析，发现合闸过程中声波信号高频分量持续时间较短，根据高频分量经过经验模态分解后的各固有模态函数能量分布特点，提出了基于固有模态函数能量熵的故障特征提取方法。模拟实验中取500~3 000 Hz信号的固有模态函数能量熵作为断路器故障诊断的依据，能去除低频环境噪声对分析结果的影响。实验结果验证了基于双谱分析和希尔伯特-黄变换的声波分析方法对于诊断断路器机械故障的有效性。 |
| 关键词: 断路器 声波 噪声 双谱 希尔伯特-黄变换 能量熵 故障分析 |
| DOI： |
| 分类号: |
| 基金项目: |
|
| Fault diagnosis based on bispectrum and Hilbert-Huang transform for circuit breaker |
|
LI Jianpeng, ZHAO Shutao, XIA Yanqing
|
|
North China Electric Power University，Baoding 071003，China
|
| Abstract: |
| The bispectrum analysis of acoustic waves is carried for the normal and abnormal closing of circuit breaker，which shows that the energy distribution of its high frequency components may reflect the operational state of the circuit breaker. Hilbert-Huang transform analysis shows that，the high frequency components of acoustic signals last only for a short period. According to the energy distribution of high frequency components extracted from the empirical mode decomposition，a method of fault feature extraction based on the energy entropy of intrinsic mode functions is proposed. The energy entropy of 500~3 000 Hz intrinsic mode functions is taken as the criterion in the simulative experiments of circuit breaker fault diagnosis，which is immune to the influence of environmental noise of low frequency. Experimental results show the effectiveness of circuit breaker fault diagnosis based on the bispectrum analysis and Hilbert-Huang transform of acoustic signals. |
| Key words: electric circuit breakers acoustic wave noise bispectrum Hilbert-Huang transform energy entropy failure analysis |
