Comparative Study of Adaptive Signal Decomposition Methods and Their Applications in Locomotive Rolling Element Bearing Fault Diagnosis

WEI Yongzhao; ZHAO Mingyuan; YANG Jiangtian

doi:10.13890/j.issn.1000-128x.2017.04.023

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Comparative Study of Adaptive Signal Decomposition Methods and Their Applications in Locomotive Rolling Element Bearing Fault Diagnosis

更新时间：2021-12-13

- Comparative Study of Adaptive Signal Decomposition Methods and Their Applications in Locomotive Rolling Element Bearing Fault Diagnosis
- Electric Drive for Locomotives Issue 4, Pages: 91(2017)
- 作者机构：
  
  1. 北京交通大学机械与电子控制工程学院,北京,100044
  2. 中车大同电力机车有限责任公司,山西,大同,037038
- 作者简介：
- 基金信息：
- DOI：10.13890/j.issn.1000-128x.2017.04.023
  CLC：
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WEI Yongzhao, ZHAO Mingyuan, YANG Jiangtian. Comparative Study of Adaptive Signal Decomposition Methods and Their Applications in Locomotive Rolling Element Bearing Fault Diagnosis. [J]. Electric Drive for Locomotives (4):91(2017)
DOI：

WEI Yongzhao, ZHAO Mingyuan, YANG Jiangtian. Comparative Study of Adaptive Signal Decomposition Methods and Their Applications in Locomotive Rolling Element Bearing Fault Diagnosis. [J]. Electric Drive for Locomotives (4):91(2017) DOI： 10.13890/j.issn.1000-128x.2017.04.023.

摘要

为有效提取机车轴承故障特征，开展信号自适应分解方法对比研究。分析了经验模态分解、局域均值分解和局部特征尺度分解3 种常用方法的局部均值计算、分解成分和分解能力。针对局域均值分解存在的问题，提出了改进方案并有效验证。进一步提出了先做改进局域均值分解，再采用维谱处理得到的乘积分量的机车轴承诊断的方法，成功用于DF4 型机车的故障诊断。

Abstract

In order to extract the fault features effectively, a comparative study of adaptive signal decomposition methods was presented. The local mean computation, decomposed components and decomposition capacity of three conventional methods empirical mode decomposition, local mean decomposition and local characteristic-scale decomposition were analyzed and compared. Aiming at the problems of the local mean decomposition, an improved decomposition algorithm was proposed. The effectiveness of proposed improvements was testified by computer-generated signal. Furthermore, a fault diagnostic approach by jointly using improved LMD and -dimension spectrum was developed. The effectiveness and practicability of the proposed method was verified by DF4 locomotive running tests.

关键词

信号自适应分解局域均值分解轴承故障诊断DF4 型机车

Keywords

adaptive signal decompositionlocal mean decompositionbearingfault diagnoseDF4 locomotive

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Technical Center, CRRC Datong Co., Ltd.

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