Ghazali, K. H. and Khatun, Sabira and Mohamed Abdelaziz, Izzeldin Ibrahim and Jadin, Mohd Shawal and Karim, Rohana Abdul Early detection monitoring image of bearing fault thermal image in induction motor. , [Research Report] (Unpublished)
|
Pdf
Early detection monitoring image of bearing fault thermal image in induction motor.wm.pdf Download (10MB) | Preview |
Abstract
AC Squirrel cage induction motors are the most important alternating current (ac) machine in industries due to their advantages of reliability, rugged construction, easy maintenance, and cost-effective pricing. More than 90% of all motors used in industry worldwide are ac induction motors (M.Peltola, 2002). Based on studies, the most common fault occurrences of induction motor are relate on bearing faults (Albrecht, Appiarius, McCoy, Owen, & Sharma, 1986; "IEEE Recommended Practice for the Design of Reliable Industrial and Commercial Power Systems," 1988; Thomson & Fenger, 2001). Yet, (Hashemian, 2011; Nandi, Toliyat, & Li, 2005; Schoen, Habetler, Kamran, & Bartfield, 1995) have identified that, up to 40%-50% of machinery defects are related to bearing faults. This has reveals that bearings are the primary cause and most severe and common fault in the motor system.
Item Type: | Research Report |
---|---|
Additional Information: | RESEARCH VOTE NO: RDU1703228 |
Uncontrolled Keywords: | Bearing; induction motor |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TL Motor vehicles. Aeronautics. Astronautics |
Depositing User: | En. Mohd Ariffin Abdul Aziz |
Date Deposited: | 15 Mar 2023 07:08 |
Last Modified: | 15 Mar 2023 07:08 |
URI: | http://umpir.ump.edu.my/id/eprint/36542 |
Download Statistic: | View Download Statistics |
Actions (login required)
View Item |