Fault Severity Recognition of Rolling Bearing based on Compensation Distance Evaluation Technique and Grey Relational Analysis

Liu Peng; Li Hongru; Wang Weiguo; Xu Baohua

doi:10.16578/j.issn.1004.2539.2015.10.023

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Fault Severity Recognition of Rolling Bearing based on Compensation Distance Evaluation Technique and Grey Relational Analysis

更新时间：2022-10-20

- Fault Severity Recognition of Rolling Bearing based on Compensation Distance Evaluation Technique and Grey Relational Analysis
- Vol. 39, Issue 10, Pages: 97-100(2015)
- 作者机构：
  
  1. 军械工程学院
- 作者简介：
- 基金信息：
- DOI：10.16578/j.issn.1004.2539.2015.10.023
  CLC：
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[1]刘鹏,李洪儒,王卫国,许葆华.基于补偿距离评估技术与灰色关联分析的滚动轴承故障程度识别[J].机械传动,2015,39(10):97-100.

Liu Peng, Li Hongru, Wang Weiguo, et al. Fault Severity Recognition of Rolling Bearing based on Compensation Distance Evaluation Technique and Grey Relational Analysis. [J]. 39(10):97-100(2015)
[1]刘鹏,李洪儒,王卫国,许葆华.基于补偿距离评估技术与灰色关联分析的滚动轴承故障程度识别[J].机械传动,2015,39(10):97-100. DOI： 10.16578/j.issn.1004.2539.2015.10.023.

Liu Peng, Li Hongru, Wang Weiguo, et al. Fault Severity Recognition of Rolling Bearing based on Compensation Distance Evaluation Technique and Grey Relational Analysis. [J]. 39(10):97-100(2015) DOI： 10.16578/j.issn.1004.2539.2015.10.023.

摘要

针对滚动轴承故障程度识别问题,提出基于补偿距离评估技术与灰色关联分析的滚动轴承故障程度识别方法。利用补偿距离评估技术对全特征集进行特征选择,优选出对故障程度大小更为敏感的特征,然后根据特征的敏感程度对其进行加权。利用敏感特征子集建立标准退化模式矩阵,应用灰色关联分析,根据关联度的大小进行故障程度大小识别。结果表明,该方法能有效识别滚动轴承滚动体的不同故障程度,同时降低了计算的复杂度。

Abstract

Aiming at the problem of rolling bearing fault severity recognition,a fault severity recognition method of rolling bearing based on compensation distance evaluation technique（ CDET） and grey relational analysis（ GRA） is proposed. By utilizing the compensation distance evaluation technique to choose features sensitive to fault severity from the high dimensional feature set,and weights such sensitive features according to their sensitive degree. Then,by using the sensitive feature subset,a standard degradation pattern matrix is built,and the grey relational analysis is applied for fault severity recognition in accordance with correlation degree index. The results show that the proposed method can effectively recognize different rolling bearing fault severity,and at the same time,the calculation complexity is reduced.

关键词

补偿距离评估技术多尺度熵灰色关联分析滚动轴承故障程度识别

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