Gear Pitting Fault Diagnosis Based on Improved Variational Modal Decomposition

Ganqi Feng; Le Li; Yongjian Ji; Liyong Wang; Changsong Zheng; Fuhua Wei

doi:10.16578/j.issn.1004.2539.2022.08.023

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Gear Pitting Fault Diagnosis Based on Improved Variational Modal Decomposition

Development·Application | 更新时间：2022-09-23

- Gear Pitting Fault Diagnosis Based on Improved Variational Modal Decomposition
- Journal of Mechanical Transmission Vol. 46, Issue 8, Pages: 146-155(2022)
- 作者机构：
  
  1.北京信息科技大学机电工程学院，北京 100192
  2.北京理工大学机械与车辆学院，北京 100081
  3.陆军装备部驻北京地区第一军代室，北京 100072
- 作者简介：
- 基金信息：
- DOI：10.16578/j.issn.1004.2539.2022.08.023
  CLC：
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冯淦淇,李乐,籍永建等.基于改进变分模态分解的齿轮点蚀故障诊断[J].机械传动,2022,46(08):146-155.

Feng Ganqi,Li Le,Ji Yongjian,et al.Gear Pitting Fault Diagnosis Based on Improved Variational Modal Decomposition[J].Journal of Mechanical Transmission,2022,46(08):146-155.
冯淦淇,李乐,籍永建等.基于改进变分模态分解的齿轮点蚀故障诊断[J].机械传动,2022,46(08):146-155. DOI： 10.16578/j.issn.1004.2539.2022.08.023.

Feng Ganqi,Li Le,Ji Yongjian,et al.Gear Pitting Fault Diagnosis Based on Improved Variational Modal Decomposition[J].Journal of Mechanical Transmission,2022,46(08):146-155. DOI： 10.16578/j.issn.1004.2539.2022.08.023.

摘要

针对齿轮点蚀故障特征难以提取的问题，提出了一种基于改进变分模态分解的齿轮点蚀故障诊断方法。利用经验模态分解自适应分解的特点，将各分量的能量占比作为有效分量的判断依据，并据此设定变分模态分解算法的模态个数，在此基础上，以变分模态分解分量的排列熵和最小值作为适应度函数，用遗传算法对惩罚因子进行搜索；根据所得结果设置变分模态分解参数，并对齿轮点蚀信号进行处理；筛选合适的本征模态函数进行包络调解，通过包络谱图分析齿轮点蚀故障的特征信息。对齿轮实验信号的分析表明，与现有方法相比，本文中提出的改进变分模态分解算法能够更加准确地识别出齿轮点蚀故障，在传动系统故障诊断方面具有一定实用价值。

Abstract

Based on an improved variational mode decomposition（VMD） algorithm，a novel gear fitting fault diagnosis method is proposed to overcome the difficulties in extracting the features of gear surface faults. The number of components for VMD is determined by the energy ratios of the components in empirical mode decomposition（EMD）. The penalty factor is established with a genetic algorithm（GA） via a fitness function between the permutation entropy and minimum value of VMD components，which determines penalty factors of the VMD. The improved VMD algorithm is used to process the gear surface fault signal. We screen the intrinsic mode function（IMF） for envelope adjustment and analyze the characteristic information of the gear pitting fault through the envelope spectrum. Compared with the current methods，the result of the gear pitting signal we analyze shows the improved VMD algorithm can identify the gear pitting faults more accurately and provide practical application value in the fault diagnosis of transmission systems.

关键词

齿轮故障变分模态分解能量占比排列熵特征提取

Keywords

Gear faultVariational modal decompositionEnergy ratioPermutation entropyFeature extraction

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