eprintid: 14482 rev_number: 2 eprint_status: archive userid: 1 dir: disk0/00/01/44/82 datestamp: 2023-11-10 03:29:04 lastmod: 2023-11-10 03:29:04 status_changed: 2023-11-10 01:57:01 type: article metadata_visibility: show creators_name: A, A. creators_name: Irfan, M. creators_name: Saad, N. title: The Fault Detection of Gears of Electromechanical Power Transmission System using Frequency Domain Approach ispublished: pub keywords: Condition based maintenance; Damage detection; Electric power transmission; Fault detection; Frequency domain analysis; Gear teeth; Losses; Power transmission; Preventive maintenance, Electrical power; Electromechanical power transmission systems; Faults detection; Frequency domain approaches; Gear anomaly; Gear crack; Instantaneous power; Instantaneous power analyzer; Machine reliability; Power analyzers, Condition monitoring note: cited By 1 abstract: 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. date: 2021 publisher: European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ) official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128784742&doi=10.24084%2frepqj19.251&partnerID=40&md5=ff5e2487154ca7b726fbba8f0a58c985 id_number: 10.24084/repqj19.251 full_text_status: none publication: Renewable Energy and Power Quality Journal volume: 19 number: 2 pagerange: 184-188 refereed: TRUE issn: 2172038X citation: 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