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Journal of Failure Analysis and Prevention

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01.02.2018 | Technical Article---Peer-Reviewed

A Novel Non-intrusive Method to Diagnose Bearings Surface Roughness Faults in Induction Motors

verfasst von: Muhammad Irfan

Erschienen in: Journal of Failure Analysis and Prevention | Ausgabe 1/2018

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Abstract

Noninvasive condition monitoring methods are economical and easy to implement. An extensive research has been conducted in the past to diagnose bearing localized faults through noninvasive condition monitoring techniques. However, due to unavailability of the harmonic frequency model for bearing surface roughness faults, noninvasive techniques could not be used to diagnose such type of faults. This paper aims to mathematically derive a harmonic frequency model for bearing surface roughness faults using bearing geometry. The derived harmonic frequency model has been verified experimentally using noninvasive instantaneous power analysis technique. Laboratory tests have been performed on the inner and outer race surface roughness faults under no-load and full-load conditions to validate the approach.

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Titel: A Novel Non-intrusive Method to Diagnose Bearings Surface Roughness Faults in Induction Motors
verfasst von: Muhammad Irfan
Publikationsdatum: 01.02.2018
Verlag: Springer US
Erschienen in: Journal of Failure Analysis and Prevention / Ausgabe 1/2018
Print ISSN: 1547-7029
Elektronische ISSN: 1864-1245
DOI: https://doi.org/10.1007/s11668-018-0398-4

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