THE EEMD-RA-KU METHOD ON DIAGNOSIS OF BEARING FAULT

WU GuangHe; DING JianMing; LIN JianHui; ZHAO QiuYuan

doi:10.16579/j.issn.1001.9669.2016.06.005

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THE EEMD-RA-KU METHOD ON DIAGNOSIS OF BEARING FAULT

更新时间：2022-09-22

- THE EEMD-RA-KU METHOD ON DIAGNOSIS OF BEARING FAULT
- Journal of Mechanical Strength Vol. 38, Issue 6, Pages: 1167-1172(2016)
- 作者机构：
  
  1. 青岛港湾职业技术学院港口机械系
  2. 西南交通大学牵引动力国家重点实验室
- 作者简介：
- 基金信息：
- DOI：10.16579/j.issn.1001.9669.2016.06.005
  CLC：
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WU GuangHe, DING JianMing, LIN JianHui, et al. THE EEMD-RA-KU METHOD ON DIAGNOSIS OF BEARING FAULT. [J]. 38(6):1167-1172(2016)
DOI：

WU GuangHe, DING JianMing, LIN JianHui, et al. THE EEMD-RA-KU METHOD ON DIAGNOSIS OF BEARING FAULT. [J]. 38(6):1167-1172(2016) DOI： 10.16579/j.issn.1001.9669.2016.06.005.

摘要

利用滚动轴承故障信号呈现出的冲击特征,提出一种捕捉冲击特征的EEMD-RA-KU轴承故障诊断新方法。将故障信号进行EEMD(ensemble empirical mode decomposition)分解得到的IMF(intrinsic mode function)分量,利用相关分析RA(relative analysis)、峭度KU(kurtosis)联合选择IMF,并利用谱峭度确定滤波器参数对选出的IMF重构信号进行滤波,对滤波后的信号进行包络分析,利用包络谱检测轴承故障。结果表明,该方法能在强噪声背景下提取出轴承的故障特征。

Abstract

Aiming at the impact feature in fault signals of the rolling bearings,The improved algorithm diagnosis method EEMD-RA-KU was proposed to capture the impact feature. Firstly,Fault signals were decomposed into a series of intrinsic mode functions（ IMFs） with ensemble empirical mode decomposition（ EEMD）. Secondly,The IMFs were selected to reconstruct signals based on relative analysis（ RA） and kurtosis（ KU）. Thirdly,The reconstructed signals were filtered by the filter that the parameters were determined with the spectral kurtosis. Finally,The fault can be diagnosed by comparing the frequency of the envelope spectrum with the fault characteristic frequency of the bearing. The result shows that the fault feature information of the signal can be extracted accurately when there was a lot of background noise.

关键词

轴承故障EEMD相关系数峭度故障诊断

Keywords

Bearing faultEEMDCorrelation coefficientKurtosisFault diagnosis

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