relation: https://khub.utp.edu.my/scholars/7179/
title: An approach to diagnose inner race surface roughness defects in bearing of induction motors
creator: Irfan, M.
creator: Saad, N.
creator: Ibrahim, R.
creator: Asirvadam, V.S.
creator: Magzoub, M.
creator: Hung, N.T.
description: In this paper a Park's transformation method for the analysis of bearing inner race surface roughness defects is presented. The existing instantaneous power analysis and stator current analysis techniques are unable to diagnose bearing surface roughness defects, due the fact that characteristics defect frequency model is not available for the bearing surface roughness defects. Thus, this paper proposes a Park's transformation method which can detect surface roughness defects without requiring information of the characteristic defect frequencies. The theoretical and experimental work conducted shows that the proposed method can detect bearing inner race surface roughness faults without use of any extra hardware. The results on the real hardware implementation confirm the effectiveness of the proposed approach. © 2015 IEEE.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2016
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Irfan, M. and Saad, N. and Ibrahim, R. and Asirvadam, V.S. and Magzoub, M. and Hung, N.T.  (2016) An approach to diagnose inner race surface roughness defects in bearing of induction motors.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84971668250&doi=10.1109%2fICSIPA.2015.7412245&partnerID=40&md5=f9120e805e1b534afa7a2900fc61d2b0
relation: 10.1109/ICSIPA.2015.7412245
identifier: 10.1109/ICSIPA.2015.7412245