Angle-order analysis based bearing flaw diagnosis via hardware implemented order tracking technique

Tian Yau Wu, Chia Hsiang Lai, Chien Sheng Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The research objective is to investigate the feasibility of utilizing the hardware-implemented order tracking technique and angle-order analysis approach to diagnose the flaws of roller bearings, such as inner race defect, rolling defect, and outer race defect, in case of variable rotating speeds. The envelopes of the identical-angular signals that are measured through the hardware are first decomposed by means of the empirical mode decomposition (EMD) technique. The features of bearing flaw are then observed and analyzed on the angle-order distribution as well as the marginal order spectra. The energy levels and the root-mean-square (RMS) values at the corresponding characteristic orders are extracted from the marginal order spectra to form the feature vectors. The support vector machine (SVM) is employed to identify the extracted feature vectors. Through the experimental studies and vibration data analysis, the classification results of the SVM demonstrate the effectiveness and accuracy of diagnosing the different types and levels of bearing defects.

Original languageEnglish
Title of host publicationICSV 2016 - 23rd International Congress on Sound and Vibration
Subtitle of host publicationFrom Ancient to Modern Acoustics
PublisherInternational Institute of Acoustics and Vibrations
ISBN (Electronic)9789609922623
Publication statusPublished - 2016 Jan 1
Event23rd International Congress on Sound and Vibration, ICSV 2016 - Athens, Greece
Duration: 2016 Jul 102016 Jul 14

Publication series

NameICSV 2016 - 23rd International Congress on Sound and Vibration: From Ancient to Modern Acoustics

Other

Other23rd International Congress on Sound and Vibration, ICSV 2016
CountryGreece
CityAthens
Period16-07-1016-07-14

All Science Journal Classification (ASJC) codes

  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality
  • Acoustics and Ultrasonics

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