Performance Degradation Evaluation of Rolling Bearing based on Improved Fuzzy Entropy and Grey Relation

Li Cheng; Wensuo Ma; Xintao Xia; Liangwen Wang

doi:10.16578/j.issn.1004.2539.2022.01.007

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Performance Degradation Evaluation of Rolling Bearing based on Improved Fuzzy Entropy and Grey Relation

Theory·Reserach | 更新时间：2022-09-23

- Performance Degradation Evaluation of Rolling Bearing based on Improved Fuzzy Entropy and Grey Relation
- Journal of Mechanical Transmission Vol. 46, Issue 1, Pages: 56-64(2022)
- 作者机构：
  
  1.河南科技大学机电工程学院，河南洛阳 471003
  2.河南科技大学机械装备先进制造河南省协同创新中心，河南洛阳 471003
  3.郑州轻工业大学机电工程学院河南省机械装备智能制造重点实验室，河南郑州 450002
- 作者简介：
- 基金信息：
- DOI：10.16578/j.issn.1004.2539.2022.01.007
  CLC：
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程立,马文锁,夏新涛等.基于改进模糊熵和灰关系的滚动轴承性能退化评估[J].机械传动,2022,46(01):56-64.

Cheng Li,Ma Wensuo,Xia Xintao,et al.Performance Degradation Evaluation of Rolling Bearing based on Improved Fuzzy Entropy and Grey Relation[J].Journal of Mechanical Transmission,2022,46(01):56-64.
程立,马文锁,夏新涛等.基于改进模糊熵和灰关系的滚动轴承性能退化评估[J].机械传动,2022,46(01):56-64. DOI： 10.16578/j.issn.1004.2539.2022.01.007.

Cheng Li,Ma Wensuo,Xia Xintao,et al.Performance Degradation Evaluation of Rolling Bearing based on Improved Fuzzy Entropy and Grey Relation[J].Journal of Mechanical Transmission,2022,46(01):56-64. DOI： 10.16578/j.issn.1004.2539.2022.01.007.

摘要

针对模糊熵在提取滚动轴承性能退化特征时敏感度较低的问题，提出了一种基于类Sigmoid函数的改进模糊熵，并将其用于滚动轴承退化特征提取。针对传统的滚动轴承性能退化评估方法局部化的问题，提出了一种基于灰关系的滚动轴承性能退化评估方法，该方法使用灰关系理论评估提取的滚动轴承退化特征与可靠性之间的关系，从而达到从滚动轴承可靠性演变规律的整体角度评估滚动轴承退化特征的目的。实验结果表明，改进模糊熵可以精准地提取出滚动轴承的性能退化特征，并且基于改进模糊熵提取的滚动轴承退化特征与滚动轴承的保持可靠度具有一致的演变规律，可信水平均达到95%以上。

Abstract

In light of low sensitivity of fuzzy entropy in extracting degraded features of rolling bearing，an improved fuzzy entropy based on the sigmoid-like function is proposed. Aiming at the localization issues of assessment methods for traditional rolling bearing performance degradation，a novel performance degradation evaluation method based on grey relation is proposed. This method uses grey relation theory to evaluate the relationship between extracted rolling bearing degradation characteristics and reliability，so as to achieve the purpose of evaluating the degradation features of rolling bearing from the overall perspective of rolling bearing reliability evolution. The experimental results show that the improved fuzzy entropy can accurately extract the performance degradation features of rolling bearing，and the rolling bearing degradation features extracted based on the improved fuzzy entropy have a consistent evolution law with the rolling bearing maintaining reliability，with a credibility level above 95%.

关键词

滚动轴承退化特征模糊熵可靠性灰关系

Keywords

Rolling bearingDegradation characteristicFuzzy entropyReliabilityGrey relation

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