基于VMD与不同包络阶次构造的风电机组滚动轴承故障诊断

王建国; 林语桐; 田野; 杜鹏; 张培焱; 辛红伟; 武英杰

doi:10.12096/j.2096-4528.pgt.2018.011

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基于VMD与不同包络阶次构造的风电机组滚动轴承故障诊断

新能源 | 更新时间：2025-07-04

- 基于VMD与不同包络阶次构造的风电机组滚动轴承故障诊断
- Fault Diagnosis of Rolling Bearing of Wind Turbine Based on VMD and Different Envelope Order Structure
- 发电技术 2018年39卷第1期页码：63-69
- 作者机构：
  
  1.东北电力大学自动化工程学院, 吉林省吉林市 132012
  2.吉林中电投新能源有限公司, 吉林省长春市 130012
  3.长岭中电投第二风力发电有限公司, 吉林省松原市 131500
  4.国网襄阳市襄州区供电公司, 湖北省襄阳市 441100
- 作者简介：
  
  [ "王建国(1963), 男, 博士, 教授, 博士生导师, 研究方向为旋转机械故障诊断、电站特殊参数测量等, 397625835@qq.com" ]
- 基金信息：
  
  吉林省科技发展计划重大科技招标专项(20150203001SF)
- DOI：10.12096/j.2096-4528.pgt.2018.011
  中图分类号：
- 收稿：2017-12-11，
  
  纸质出版：2018-02-28
- 稿件说明：
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王建国, 林语桐, 田野, 等. 基于VMD与不同包络阶次构造的风电机组滚动轴承故障诊断[J]. 发电技术, 2018,39(1):63-69.

Jianguo WANG, Yutong LIN, Ye TIAN, et al. Fault Diagnosis of Rolling Bearing of Wind Turbine Based on VMD and Different Envelope Order Structure[J]. Power Generation Technology, 2018, 39(1): 63-69.
王建国, 林语桐, 田野, 等. 基于VMD与不同包络阶次构造的风电机组滚动轴承故障诊断[J]. 发电技术, 2018,39(1):63-69. DOI： 10.12096/j.2096-4528.pgt.2018.011.

Jianguo WANG, Yutong LIN, Ye TIAN, et al. Fault Diagnosis of Rolling Bearing of Wind Turbine Based on VMD and Different Envelope Order Structure[J]. Power Generation Technology, 2018, 39(1): 63-69. DOI： 10.12096/j.2096-4528.pgt.2018.011.

摘要

针对风电机组变工况滚动轴承故障诊断问题，将变分模态分解（variational mode decomposition，VMD）与计算阶比跟踪（computed order tracking，COT）、逆包络阶次谱（reversed sequence squared envelope spectrum，RE-SES）2种方法结合进行包络阶次分析；将非平稳的时间域信号转换成平稳的角度域信号，再经包络法找出滚动轴承故障特征信息。仿真与实验结果表明，VMD结合RE-SES包络阶次法可以更加有效地提取出调幅信号中的调制阶次，并且VMD滤波可以使得故障特征阶次更加凸显，易于故障识别，为风电机组变速工况下的滚动轴承故障诊断提供参考。

Abstract

In order to identify the faults of rolling bearing of wind turbines

the variational modal decomposition (VMD) was combined with two methods

including calculation order tracking (COT) and reversed sequence squared envelope spectrum (RE-SES)

to carry out the envelope order analysis. The non-stationary signals in time domain were converted into stationary signals in angle domain by equal angle sampling. And the bearing fault characteristic information was obtained by envelope method. The results show that the modulation order of amplitude modulation signal can be extracted more effectively by VMD combined with RE-SES envelope order method. The VMD filter could make the fault feature order more prominent

and it is easy to identify the fault

and it provide reference for the fault diagnosis of rolling bearing of wind turbine under variable speed condition.

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references

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