噪声与振动控制

›› 2010, Vol. 30 ›› Issue (4): 72-75.DOI: 10.3969/j.issn.1006-1355.2010.04.020

• 信号处理与故障诊断 • 上一篇    下一篇

《基于EMD-AR转子碰摩故障的时序距离分析方法》

王珍1,2，祁贵兵1，江亲瑜1,2   

  1. （1.大连大学机械工程学院，辽宁大连1166222；大连交通大学机械工程学院，辽宁大连116025）
  • 收稿日期:2009-09-02 修回日期:1900-01-01 出版日期:2010-08-18 发布日期:2010-08-18
  • 通讯作者: 王珍

《Time Series Distance Approach for RubImpact Fault Analysis of Rotor System Based on EMD-AR Method》

WANG Zhen1,2，QI Gui-bing1，JIANG Qin-yu1,2   

  1. (1. Department of Mechanical Engineering, Dalian University, Dalian Liaoning 116622, China; 2. Department of Mechanical Engineering, Dalian Jiaotong University, Dalian Liaoning 116025, China)
  • Received:2009-09-02 Revised:1900-01-01 Online:2010-08-18 Published:2010-08-18
  • Contact: WANG Zhen

摘要： 针对转子系统单点局部碰摩的非线性振动信号,先进行EMD分解,对得到的每一个IMF分量建立AR模型,然后用马氏距离判别函数和K-L信息量相结合的时序距离分析方法,进行故障诊断。实验结果表明,该方法是有效的。

关键词: 振动与波, EMD分解, AR模型, 马氏距离, K-L信息量

Abstract: In this paper, the nonlinear vibration signals of a rotor system with single point local rubimpact faults are decomposed into a number of intrinsic mode functions (IMF) with EMD method. The AR model for each IMF component is then established. Combining the Mahalanobis distance criterion function with KL information, an approach of time series distance analysis for the faults diagnoses is proposed. Experimental results show that this approach is good.

Key words: vibration and wave, EMD decomposition, AR model, Mahalanobis distance, K- information

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