计算机工程与应用 ›› 2014, Vol. 50 ›› Issue (3): 247-249.

• 工程与应用 • 上一篇    下一篇

基于EMD方法的机电作动系统故障特征提取

谢文俊1,2,齐  蓉1,肖  蕾3   

  1. 1.西北工业大学 自动化学院,西安 710072
    2.空军工程大学 工程学院,西安 710038
    3.西安卫星测控中心,西安 710043
  • 出版日期:2014-02-01 发布日期:2014-01-26

Electromechanical actuation system fault feature extraction based on EMD method

XIE Wenjun1,2, QI Rong1, XIAO Lei3   

  1. 1.School of Automation, Northwestern Polytechnical University, Xi’an 710072, China
    2.College of Air Force Engineering, Air Force Engineering University, Xi’an 710038, China
    3.Xi’an Satellite Control Center, Xi’an 710043, China
  • Online:2014-02-01 Published:2014-01-26

摘要: 提出基于经验模式分解(EMD)分析的特征提取方法,该方法自适应地将故障信号分解为不同频段上的基本模式分量(IMF)之和,由于只有少数IMF对故障敏感,从而可以有效提取故障特征。实验结果表明该方法可有效提取电机早期隐性故障特征,为飞机机电作动系统的故障预测和健康评估提供必要的前期准备。

关键词: 机电作动系统, 故障诊断、预测与健康管理, 经验模式分解

Abstract: An improved feature extraction method based on Empirical Mode Decomposition(EMD) analysis is presented. This method decomposes the fault signal into the sum of Intrinsic Mode Function(IMF) adaptively, which effectively obtains the characteristic information of raw data for only little IMF is sensitive to the fault. As simulation result shows, this method can extract the forepart recessive fault feature, and provide necessary forepart provision for fault prognostics and health evaluation for airplane electro-mechanical actuation system.

Key words: electro-mechanical actuation system, fault diagnosis, prognostics and health management, Empirical Mode Decomposition(EMD)