Fault Diagnosis of Gearboxes based on Time Varying Filter for Empirical Mode Decomposition

Lin Jinshan; Dou Chunhong; Kou Xinglei

doi:10.16578/j.issn.1004.2539.2018.01.021

您当前的位置：

首页 >

文章列表页 >

Fault Diagnosis of Gearboxes based on Time Varying Filter for Empirical Mode Decomposition

更新时间：2022-10-20

- Fault Diagnosis of Gearboxes based on Time Varying Filter for Empirical Mode Decomposition
- Vol. 42, Issue 1, Pages: 98-101(2018)
- 作者机构：
  
  1. 潍坊学院机电与车辆工程学院
  2. 潍坊学院信息与控制工程学院
  3. 山东寿光巨能金玉米开发有限公司
- 作者简介：
- 基金信息：
- DOI：10.16578/j.issn.1004.2539.2018.01.021
  CLC：
扫描看全文
[1]林近山,窦春红,寇兴磊.基于时变滤波经验模式分解的齿轮箱故障诊断[J].机械传动,2018,42(01):98-101+105.

Lin Jinshan, Dou Chunhong, Kou Xinglei. Fault Diagnosis of Gearboxes based on Time Varying Filter for Empirical Mode Decomposition. [J]. 42(1):98-101(2018)
[1]林近山,窦春红,寇兴磊.基于时变滤波经验模式分解的齿轮箱故障诊断[J].机械传动,2018,42(01):98-101+105. DOI： 10.16578/j.issn.1004.2539.2018.01.021.

Lin Jinshan, Dou Chunhong, Kou Xinglei. Fault Diagnosis of Gearboxes based on Time Varying Filter for Empirical Mode Decomposition. [J]. 42(1):98-101(2018) DOI： 10.16578/j.issn.1004.2539.2018.01.021.

摘要

经验模式分解（Empirical Mode Decomposition,EMD）经常出现模态混叠问题。集总经验模式分解（Ensemble EMD,EEMD）能够在一定程度上缓解模态混叠,但是辅助白噪声的引入却破坏了原始EMD方法的时变滤波特性。为了提高齿轮箱故障诊断的效果,将时变滤波经验模式分解（Time Varying Filter for EMD,TVFEMD）引入到齿轮箱振动信号分析领域,提出了基于TVFEMD的齿轮箱故障诊断方法。将该方法用于分析包含着输出轴不对中故障的齿轮箱振动信号,结果表明,该方法能够有效地诊断出齿轮箱的不对中故障,与基于EMD和EEMD的方法相比具有明显的优势。

Abstract

The empirical mode decomposition（EMD） often suffers from the problem of mode mixing.Although the mode mixing can be alleviated to some degree by the ensemble EMD（EEMD）,but the introduction of assistant white noise in EEMD hinders time varying filtering performance of EMD. To enhance results of gearbox fault diagnosis,the time varying filter for EMD（TVFEMD） is introduced to examine gearbox vibration signals and a method for fault diagnosis of gearboxes based on TVFEMD is proposed. This proposed method is used to analyze the gearbox vibration data containing eccentricity of output shafts,the results show that the fault of eccentricity of output shafts of the gearbox can be effectively diagnosed,and a comparison between EMD,EEMD and TVFEMD indicates that the proposed method performs better in fault diagnosis of gearboxes.

关键词

信号分析时变滤波经验模式分解齿轮箱故障诊断

Keywords

Signal analysisTime varying filter for empirical mode decompositionGearboxFault diagnosis

references

Views

278

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Gearbox Fault Diagnosis Based on the LMD Cloud Model and PSO-KELM

Research on Gearbox Fault Diagnosis Based on LMD Energy Entropy

Gearbox Fault Diagnosis based on GAF-inceptionResNet

Gearbox Fault Diagnosis based on Time-frequency Combination Feature Extraction and Manifold Learning of MS-LTSA

Fault Diagnosis of Wind Turbine Gearbox based on Signal Model and Order Analysis

Related Author

No data

Related Institution

School of Mechanical and Electrical Engineering, Xi'an Polytechnic University

Engineering Training Center, Jiangsu Normal University

School of Mechatronic Engineering, China University of Mining and Technology

Department of Information Technology， Shanxi Professional College of Finance

College of Mechanical and Vehicle Engineering，Taiyuan University of Technology

⁰