东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2010, Vol. 31 ›› Issue (12): 1701-1704.DOI: -

• 论著 • 上一篇    下一篇

基于Hilbert变换和小波包能量分析的转子断条故障诊断

冯健;曹建刚;   

  1. 东北大学信息科学与工程学院;
  • 收稿日期:2013-06-20 修回日期:2013-06-20 出版日期:2010-12-15 发布日期:2013-06-20
  • 通讯作者: -
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(60774093);;

Fault diagnosis of broken rotor bars of induction motors via Hilbert transform and wavelet packet energy analysis

Feng, Jian (1); Cao, Jian-Gang (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
  • Received:2013-06-20 Revised:2013-06-20 Online:2010-12-15 Published:2013-06-20
  • Contact: Feng, J.
  • About author:-
  • Supported by:
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摘要： 转子断条是笼型异步电机最常见故障之一.基于Hilbert变换和小波包频带能量分析方法,提出了一种新的笼型异步电机转子断条故障检测方法.对采集的定子电流信号进行Hilbert变换,消去定子电流中包含的直流分量,解决了转子断条故障特征分量容易被基波湮没、难以检测的问题.采用基于小波包频带能量分析方法,对转子断条故障进行识别.实验结果验证了方法的有效性.

关键词: 故障诊断, 转子断条, Hilbert变换, 小波包, 能量分析

Abstract: Broken rotor bar fault of squirrel-cage motor is one of the most frequent faults, to which a new method of fault diagnosis was proposed via combining the Hilbert transform with wavelet packet energy analysis. By Hilbert transform, the DC component in the stator current is eliminated. The problem that the characteristic component of the fault of broken rotor bar is easy to be annihilated by fundamental wave and difficult to detect is addressed. Then, the fault was identified by wavelet packet energy analysis and the experimental results demonstrated the effectiveness of this method.

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