Spectral entropy: a complementary index for rolling element bearing performance degradation assessment

被引:112
|
作者
Pan, Y. N. [1 ]
Chen, J. [1 ]
Li, X. L. [2 ]
机构
[1] Shanghai Jiao Tong Univ, State Key Lab Mech Syst & Vibrat, Shanghai 200240, Peoples R China
[2] Hangzhou Bearing Test & Res Ctr, State Testing Lab, Hangzhou, Zhejiang, Peoples R China
关键词
spectral entropy; performance degradation assessment; bearing accelerated life test; FAULT-DIAGNOSIS; STATISTICAL MOMENTS; MACHINE; VIBRATION; ALGORITHM; ENVELOPE; DEFECTS;
D O I
10.1243/09544062JMES1224
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Performance degradation assessment has been proposed to realize equipment's near-zero downtime and maximum productivity. Exploring effective indices is crucial for it. In this study, rolling element bearing has been taken as a research object, spectral entropy is proposed to be as a complementary index for its performance degradation assessment, and its accelerated life test has been performed to collect vibration data over a whole lifetime (normal-fault-failure). Results of both simulation and experiment show that spectral entropy is an effective complementary index.
引用
收藏
页码:1223 / 1231
页数:9
相关论文
共 50 条
  • [1] Performance Degradation Assessment of Rolling Element Bearings using Improved Fuzzy Entropy
    Zhu, Keheng
    Jiang, Xiaohui
    Chen, Liang
    Li, Haolin
    [J]. MEASUREMENT SCIENCE REVIEW, 2017, 17 (05): : 219 - 225
  • [2] Robust performance degradation assessment methods for enhanced rolling element bearing prognostics
    Qiu, H
    Lee, J
    Lin, J
    Yu, G
    [J]. ADVANCED ENGINEERING INFORMATICS, 2003, 17 (3-4) : 127 - 140
  • [3] Performance degradation assessment of rolling element bearings based on hierarchical entropy and general distance
    Zhu, Keheng
    [J]. JOURNAL OF VIBRATION AND CONTROL, 2018, 24 (14) : 3194 - 3205
  • [4] Performance degradation status identification and assessment of rolling element bearing based on the JRD and CUSUM
    Xia, Junzhong
    Lü, Qipeng
    Chen, Chengfa
    Liu, Kunpeng
    Zheng, Jianbo
    [J]. Zhendong yu Chongji/Journal of Vibration and Shock, 2019, 38 (02): : 1 - 5
  • [5] Rolling bearing performance degradation evaluation using grey entropy
    Cheng, Li
    Ma, Wensuo
    Xia, Xintao
    Wang, Liangwen
    [J]. ADVANCES IN MECHANICAL ENGINEERING, 2022, 14 (03)
  • [6] The changes of complexity in the performance degradation process of rolling element bearing
    Pan, Yuna
    Chen, Jin
    [J]. JOURNAL OF VIBRATION AND CONTROL, 2016, 22 (02) : 344 - 357
  • [7] Rolling Bearing Degradation State Identification Based on LCD Relative Spectral Entropy
    Yu H.
    Li H.
    Xu B.
    [J]. Journal of Failure Analysis and Prevention, 2016, 16 (4) : 655 - 666
  • [8] A Bayesian approach to degradation modeling and reliability assessment of rolling element bearing
    Prakash, G.
    [J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2021, 50 (23) : 5453 - 5474
  • [9] Performance Degradation Assessment of Rolling Element Bearings Based on an Index Combining SVD and Information Exergy
    Zhang, Bin
    Zhang, Lijun
    Xu, Jinwu
    Wang, Pingfeng
    [J]. ENTROPY, 2014, 16 (10) : 5400 - 5415
  • [10] Cross-fuzzy entropy-based approach for performance degradation assessment of rolling element bearings
    Zhu, Keheng
    Song, Xigeng
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING, 2018, 232 (02) : 173 - 185