Research of Feature Extraction and Fault Diagnosis Method of Gear Crack

Li Haiping; Zhao Jianmin; Wu Qingtian; Liu Yang

doi:10.16578/j.issn.1004.2539.2015.02.023

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Research of Feature Extraction and Fault Diagnosis Method of Gear Crack

更新时间：2022-10-20

- Research of Feature Extraction and Fault Diagnosis Method of Gear Crack
- Vol. 39, Issue 2, Pages: 40-43(2015)
- 作者机构：
  
  1. 军械工程学院
  2. 66426部队
  3. 63981部队
- 作者简介：
- 基金信息：
- DOI：10.16578/j.issn.1004.2539.2015.02.023
  CLC：
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[1]李海平,赵建民,吴青田,刘洋.齿轮裂纹特征提取和故障诊断方法研究[J].机械传动,2015,39(02):40-43.

Li Haiping, Zhao Jianmin, Wu Qingtian, et al. Research of Feature Extraction and Fault Diagnosis Method of Gear Crack. [J]. 39(2):40-43(2015)
[1]李海平,赵建民,吴青田,刘洋.齿轮裂纹特征提取和故障诊断方法研究[J].机械传动,2015,39(02):40-43. DOI： 10.16578/j.issn.1004.2539.2015.02.023.

Li Haiping, Zhao Jianmin, Wu Qingtian, et al. Research of Feature Extraction and Fault Diagnosis Method of Gear Crack. [J]. 39(2):40-43(2015) DOI： 10.16578/j.issn.1004.2539.2015.02.023.

摘要

齿轮作为旋转机械中的关键部件,其健康状态是判断设备能否继续运行的重要指标,因此,准确快速的对齿轮早期故障进行诊断极其重要。提出了一种基于欧氏距离技术（EDT）的齿轮故障诊断新方法,该方法选择提取振动信号的频带能量作为特征参数,然后计算测试样本和各不同健康状态下频带能量组成的矩阵之间的欧氏距离,距离最小者为测试样本所属状态类别。采用实验数据验证该方法的准确性,结果表明,EDT方法能有效的诊断齿轮早期裂纹故障且与同类方法相比具有更高的准确性;同时,分析对比结果可知,频带能量在齿轮裂纹故障诊断中是一个比较敏感的特征参数,可以考虑为后续使用。

Abstract

Gears are the most essential parts in rotating machinery,its health status is a significant index to indicate whether machines can run continually or not.So,an automatical and accuracy way for gear early stage fault diagnosis is very important in engineering practice.A novel gear fault diagnosis method based on Euclidean distance technique（EDT）is proposed.The energies of frequency bands are used as the fault feature paramdter in this method.Then,the euclidean distance between the test sample and each health status are calculated through the matrix which consist of the energy values.The class which is the test sample belongs is decided by the minimum distance value.The effectiveness of this methodology is demonstrated using an experiment conducted on a real gearbox.The results show that EDT can diagnose the gear crack fault with a higher accuracy rate than other similar method.As the same time,band energy is a sensitive feature parameter in gear crack fault diagnosis and can be used later.

关键词

齿轮频带能量特征提取故障诊断欧氏距离技术

Keywords

GearFrequency band energyFeature extractionFault diagnosisEuclidean distance technique

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