Application of Variational Mode Decomposition in Wind Power Fault Diagnosis

Wu Yingjie; Zhen Chenggang; Liu Changliang

doi:10.16578/j.issn.1004.2539.2015.10.031

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Application of Variational Mode Decomposition in Wind Power Fault Diagnosis

更新时间：2022-10-20

- Application of Variational Mode Decomposition in Wind Power Fault Diagnosis
- Vol. 39, Issue 10, Pages: 129-132(2015)
- 作者机构：
  
  1. 新能源电力系统国家重点实验室(华北电力大学)
  2. 华北电力大学控制与计算机工程学院
- 作者简介：
- 基金信息：
- DOI：10.16578/j.issn.1004.2539.2015.10.031
  CLC：
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[1]武英杰,甄成刚,刘长良.变分模态分解在风电机组故障诊断中的应用[J].机械传动,2015,39(10):129-132.

Wu Yingjie, Zhen Chenggang, Liu Changliang. Application of Variational Mode Decomposition in Wind Power Fault Diagnosis. [J]. 39(10):129-132(2015)
[1]武英杰,甄成刚,刘长良.变分模态分解在风电机组故障诊断中的应用[J].机械传动,2015,39(10):129-132. DOI： 10.16578/j.issn.1004.2539.2015.10.031.

Wu Yingjie, Zhen Chenggang, Liu Changliang. Application of Variational Mode Decomposition in Wind Power Fault Diagnosis. [J]. 39(10):129-132(2015) DOI： 10.16578/j.issn.1004.2539.2015.10.031.

摘要

针对经验模态分解（EMD）和局部均值分解（LMD）在实际应用中可能存在的模态混叠问题,提出了一种基于变分模态分解（VMD）的风电机组故障诊断新方法,并应用于机组传动系统不平衡故障诊断中。结果表明,VMD能有效避免噪声及冲击信号造成的模态混叠现象,对不平衡故障具有良好的诊断效果。

Abstract

As to mode mixing problem of empirical mode decomposition（ EMD） and local mean decomposition（ LMD） when they are applied to field data decomposition,a new wind turbine fault diagnosis method based on variational mode decomposition（ VMD） is put forward,and then it is applied to the wind power drivetrain system for imbalance fault diagnosis. The result shows that VMD can effectively avoid the mode mixing phenomenon caused by noise and impulse. It has a good effect on the diagnosis of unbalanced fault.

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变分模态分解模态混叠风电机组故障诊断

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