Performance degradation assessment of rolling element bearings based on an index combining SVD and information exergy

Bin Zhang, Lijun Zhang, Jinwu Xu, Pingfeng Wang

Research output: Contribution to journalArticlepeer-review

Abstract

Performance degradation assessment of rolling element bearings is vital for the reliable and cost-efficient operation and maintenance of rotating machines, especially for the implementation of condition-based maintenance (CBM). For robust degradation assessment of rolling element bearings, uncertainties such as those induced from usage variations or sensor errors must be taken into account. This paper presents an information exergy index for bearing performance degradation assessment that combines singular value decomposition (SVD) and the information exergy method. Information exergy integrates condition monitoring information of multiple instants and multiple sensors, and thus performance degradation assessment uncertainties are reduced and robust degradation assessment results can be obtained using the proposed index. The effectiveness and robustness of the proposed information exergy index are validated through experimental case studies.

Original languageEnglish (US)
Pages (from-to)5400-5415
Number of pages16
JournalEntropy
Volume16
Issue number10
DOIs
StatePublished - Jan 1 2014
Externally publishedYes

Keywords

  • Condition-based maintenance
  • Information exergy index
  • Performance degradation assessment
  • Rolling element bearing
  • Singular value decomposition

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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