Early detection monitoring image of bearing fault thermal image in induction motor
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...
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| Format: | Research Report |
| Language: | English |
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| Online Access: | http://umpir.ump.edu.my/id/eprint/36542/ http://umpir.ump.edu.my/id/eprint/36542/1/Early%20detection%20monitoring%20image%20of%20bearing%20fault%20thermal%20image%20in%20induction%20motor.wm.pdf |
| _version_ | 1848825024848330752 |
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| author | Ghazali, K. H. Khatun, Sabira Mohamed Abdelaziz, Izzeldin Ibrahim Jadin, Mohd Shawal Karim, Rohana Abdul |
| author_facet | Ghazali, K. H. Khatun, Sabira Mohamed Abdelaziz, Izzeldin Ibrahim Jadin, Mohd Shawal Karim, Rohana Abdul |
| author_sort | Ghazali, K. H. |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T03:22:21Z |
| format | Research Report |
| id | ump-36542 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:22:21Z |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-365422023-03-15T07:08:15Z http://umpir.ump.edu.my/id/eprint/36542/ Early detection monitoring image of bearing fault thermal image in induction motor Ghazali, K. H. Khatun, Sabira Mohamed Abdelaziz, Izzeldin Ibrahim Jadin, Mohd Shawal Karim, Rohana Abdul TK Electrical engineering. Electronics Nuclear engineering TL Motor vehicles. Aeronautics. Astronautics 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. Research Report NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/36542/1/Early%20detection%20monitoring%20image%20of%20bearing%20fault%20thermal%20image%20in%20induction%20motor.wm.pdf 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) |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering TL Motor vehicles. Aeronautics. Astronautics Ghazali, K. H. Khatun, Sabira Mohamed Abdelaziz, Izzeldin Ibrahim Jadin, Mohd Shawal Karim, Rohana Abdul Early detection monitoring image of bearing fault thermal image in induction motor |
| title | Early detection monitoring image of bearing fault thermal image in induction motor |
| title_full | Early detection monitoring image of bearing fault thermal image in induction motor |
| title_fullStr | Early detection monitoring image of bearing fault thermal image in induction motor |
| title_full_unstemmed | Early detection monitoring image of bearing fault thermal image in induction motor |
| title_short | Early detection monitoring image of bearing fault thermal image in induction motor |
| title_sort | early detection monitoring image of bearing fault thermal image in induction motor |
| topic | TK Electrical engineering. Electronics Nuclear engineering TL Motor vehicles. Aeronautics. Astronautics |
| url | http://umpir.ump.edu.my/id/eprint/36542/ http://umpir.ump.edu.my/id/eprint/36542/1/Early%20detection%20monitoring%20image%20of%20bearing%20fault%20thermal%20image%20in%20induction%20motor.wm.pdf |