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Analysis of Autogram Performance for Rolling Element Bearing Diagnosis by Using Different Data Sets

  • Ali MoshrefzadehEmail author
  • Alessandro Fasana
  • Luigi Garibaldi
Conference paper
Part of the Applied Condition Monitoring book series (ACM, volume 15)

Abstract

Rolling element bearings are one of the most important component in every rotating machinery. As a result, their diagnosis before occurrence of any catastrophic failure is of vital importance and vibration based diagnosis is very popular approach. In this paper, the performance of a recently proposed method, Autogram, will be investigated on different data sets provided by Politecnico di Torino and University of Cincinnati. The results will be compared with other well-established methods such as Fast Kurtogram and Spectral Correlation.

Keywords

Rolling element bearing Diagnosis Autogram Fast Kurtogram Fast Spectral Correlation Experimental data 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Ali Moshrefzadeh
    • 1
    Email author
  • Alessandro Fasana
    • 1
  • Luigi Garibaldi
    • 1
  1. 1.Politecnico di TorinoTorinoItaly

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