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

Ali Moshrefzadeh, Alessandro Fasana, Luigi Garibaldi

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationAdvances in Condition Monitoring of Machinery in Non-Stationary Operations
Subtitle of host publicationProceedings of the 6th International Conference on Condition Monitoring of Machinery in Non-Stationary Operations, CMMNO’2018
EditorsA. Fernandez Del Rincon, F. Viadero Rueda, F. Chaari, R. Zimroz, M. Haddar
PublisherSpringer, Cham
Pages132-141
Number of pages10
Volume15
ISBN (Electronic)9783030112202
ISBN (Print)9783030112196
DOIs
Publication statusPublished - 8 Feb 2019
Externally publishedYes
Event6th International Conference on Condition Monitoring of Machinery in Non-Stationary Operations - Santander, Spain
Duration: 20 Jun 201822 Jun 2018
Conference number: 6

Publication series

NameApplied Condition Monitoring
PublisherSpringer
Volume15
ISSN (Print)2363-698X
ISSN (Electronic)2363-6998

Conference

Conference6th International Conference on Condition Monitoring of Machinery in Non-Stationary Operations
Abbreviated titleCMMNO'2018
CountrySpain
CitySantander
Period20/06/1822/06/18

Fingerprint Dive into the research topics of 'Analysis of Autogram Performance for Rolling Element Bearing Diagnosis by Using Different Data Sets'. Together they form a unique fingerprint.

Cite this