eprintid: 4347
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/43/47
datestamp: 2023-11-09 16:16:01
lastmod: 2023-11-09 16:16:01
status_changed: 2023-11-09 15:58:14
type: conference_item
metadata_visibility: show
creators_name: Irfan, M.
creators_name: Saad, N.
creators_name: Ibrahim, R.
creators_name: Asirvadam, V.S.
creators_name: Hung, N.T.
title: A non invasive fault diagnosis system for induction motors in noisy environment
ispublished: pub
keywords: Condition monitoring; Hardware; Induction motors; Noninvasive medical procedures, Bearing fault; Detection methods; Environmental noise; Fault diagnosis systems; Hardware implementations; Instantaneous power; Low order harmonics; Noninvasive methods, Fault detection
note: cited By 11; Conference of 2014 IEEE International Conference on Power and Energy, PECon 2014 ; Conference Date: 1 December 2014 Through 3 December 2014; Conference Code:111645
abstract: In this paper a phase detection method for fault diagnosis of the induction motors has been presented. The proposed method has a powerful environmental noise suppression capability. It has been shown in literature that the performance of the previously used fault detection method (instantaneous power analysis) was affected by the environmental noise, switching disturbances and other low order harmonics. The instantaneous power analysis yields erroneous results under low load conditions of the motor where fault signature was buried in the noise. It has been theoretically and experimentally shown that the proposed phase detection method can detect fault signatures in the noisy environment without use of any extra hardware. The accuracy of the proposed phase detection method was compared with the instantaneous power analysis method for bearing ball defects and the results on the real hardware implementation confirm the effectiveness of the proposed approach. © 2014 IEEE.
date: 2014
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946692834&doi=10.1109%2fPECON.2014.7062455&partnerID=40&md5=296d30fc692009bcdd50ccdeb66af265
id_number: 10.1109/PECON.2014.7062455
full_text_status: none
publication: Conference Proceeding - 2014 IEEE International Conference on Power and Energy, PECon 2014
pagerange: 271-276
refereed: TRUE
isbn: 9781479972975
citation:   Irfan, M. and Saad, N. and Ibrahim, R. and Asirvadam, V.S. and Hung, N.T.  (2014) A non invasive fault diagnosis system for induction motors in noisy environment.  In: UNSPECIFIED.