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Fault diagnosis method based on variance random series

  • Chengrui Liu*
  • , Huimin Fu
  • *Corresponding author for this work
  • Beihang University

Research output: Contribution to journalArticlepeer-review

Abstract

It is found that the sample standard deviation of variance random series can describe the stabilization of equipment performance. Based on the discovery, a fault diagnosis method is presented. It gives a new fault diagnosis characteristic quantity, and constitutes the Mahalanobis distance function for discriminating the fault equipments. Through application in engineering, it is shown that the proposed method can diagnose a kind of failure mode which the traditional method, such as the spectrum analysis and time-frequency analysis, cannot diagnose.

Original languageEnglish
Pages (from-to)190-195
Number of pages6
JournalJixie Qiangdu/Journal of Mechanical Strength
Volume28
Issue number2
StatePublished - Apr 2006

Keywords

  • Failure mode
  • Fault characteristic quantity
  • Fault diagnosis
  • Mahalanobis distance discriminate function
  • Sample standard deviation
  • Stabilization of equipment performance

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