relation: https://khub.utp.edu.my/scholars/14482/
title: The Fault Detection of Gears of Electromechanical Power Transmission System using Frequency Domain Approach
creator: A, A.
creator: Irfan, M.
creator: Saad, N.
description: Electric motors are widely used in the industry and convert electrical power to mechanical power. Gears are connected with the motor shaft for frictionless power transmission. The power transmission efficiency is dropped when the gear teeth is damaged. It causes huge financial loss. There are various commercially available condition monitoring tools for the preventive maintenance and condition monitoring of the gearing systems. However, such tools and techniques are intrusive and costly. This paper presents a non-intrusive approach for timely detection of gear damages and can be integrated to existing condition monitoring systems to save time and cost. The proposed method is based on the analysis of power spectra of the frequency amplitude plots. The amplitude difference at gear harmonics gives indication of the presence of the fault. The proposed technique has been tested and validated at 1400 rpm and 1370 rpm of the motor which is operating at 75  load and full load. © 2021, European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ). All rights reserved.
publisher: European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ)
date: 2021
type: Article
type: PeerReviewed
identifier:   A, A. and Irfan, M. and Saad, N.  (2021) The Fault Detection of Gears of Electromechanical Power Transmission System using Frequency Domain Approach.  Renewable Energy and Power Quality Journal, 19 (2).  pp. 184-188.  ISSN 2172038X     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128784742&doi=10.24084%2frepqj19.251&partnerID=40&md5=ff5e2487154ca7b726fbba8f0a58c985
relation: 10.24084/repqj19.251
identifier: 10.24084/repqj19.251