Resonant-frequency band choice for bearing fault diagnosis based on EMD and envelope analysis

Wen Chang Tsao, Yi Fan Li, Min Chun Pan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

This study presents a novel method based on the empirical mode decomposition (EMD) and the envelope analysis for the fault detection of rolling bearings. The main purpose is to overcome the traditional envelope method in the choosing of the resonant frequency band. First, the EMD method is adaptively to decompose the vibration signals into a series of the intrinsic mode function (IMF). Then, the decision of the resonant frequency band relies on the overlap frequency which compares the resonant frequency spectrum with the spectrum of each IMF. Finally, the interest of IMF is selected and executed the envelope analysis. Therefore, the envelope spectrum is obtained to diagnose the bearing faults. Two types of the rolling bearing fault, the outer-race fault and the inner-race fault, are analyzed by the presented method. The experimental results show that the proposed method can efficiently diagnose for the fault detection of the rolling bearing.

Original languageEnglish
Title of host publication2010 8th World Congress on Intelligent Control and Automation, WCICA 2010
Pages1289-1294
Number of pages6
DOIs
StatePublished - 2010
Event2010 8th World Congress on Intelligent Control and Automation, WCICA 2010 - Jinan, China
Duration: 7 Jul 20109 Jul 2010

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)

Conference

Conference2010 8th World Congress on Intelligent Control and Automation, WCICA 2010
Country/TerritoryChina
CityJinan
Period7/07/109/07/10

Keywords

  • Empirical mode decomposition (EMD)
  • Envelope analysis
  • Envelope spectrum
  • Fault diagnosis
  • Inner-race fault
  • Intrinsic mode function (IMF)
  • Outer-race fault
  • Rolling bearings

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