eprintid: 5979
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/59/79
datestamp: 2023-11-09 16:17:43
lastmod: 2023-11-09 16:17:43
status_changed: 2023-11-09 16:04:26
type: article
metadata_visibility: show
creators_name: Irfan, M.
creators_name: Saad, N.
creators_name: Ibrahim, R.
creators_name: Asirvadam, V.S.
title: An on-line condition monitoring system for induction motors via instantaneous power analysis
ispublished: pub
keywords: Condition monitoring; Decision making; Failure analysis; Fault detection; Hardware; Induction motors, Bearing fault; Condition monitoring systems; Hardware implementations; Instantaneous power; Intelligent fault diagnosis; Motor bearings; On-line condition monitoring system; Real time tracking, Monitoring
note: cited By 28
abstract: Condition monitoring is an important factor in assuring well-being of motors. Existing approaches of condition monitoring are dependent on expensive special sensors. This paper reviews various forms of existing condition monitoring methods and highlights the need for an economical intelligent fault diagnosis system. In this study, the methodology taken in developing a condition monitoring system for the motor bearing faults identification, utilizing the commonly available motor stator current and voltage is demonstrated. This unique diagnostic condition monitoring system provides continuous real time tracking of the various bearing defects and determines the severity which can be adopted for fast decision making. The study on different bearing faults under no-load and full-load conditions is carried out experimentally and analyzed, and the results on the real hardware implementation confirm the effectiveness of the proposed approach. © 2015, The Korean Society of Mechanical Engineers and Springer-Verlag Berlin Heidelberg.
date: 2015
publisher: Korean Society of Mechanical Engineers
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84928344523&doi=10.1007%2fs12206-015-0321-9&partnerID=40&md5=5bc03ea5e037751c2fe29022fd3abb5b
id_number: 10.1007/s12206-015-0321-9
full_text_status: none
publication: Journal of Mechanical Science and Technology
volume: 29
number: 4
pagerange: 1483-1492
refereed: TRUE
issn: 1738494X
citation:   Irfan, M. and Saad, N. and Ibrahim, R. and Asirvadam, V.S.  (2015) An on-line condition monitoring system for induction motors via instantaneous power analysis.  Journal of Mechanical Science and Technology, 29 (4).  pp. 1483-1492.  ISSN 1738494X