A NON-INVASIVE METHODS FOR DIAGNOSING AND SEGREGATION OF ELECTRICAL AND BEARING FAULTS IN INDUCTION MOTORS
Online condition monitoring of an induction motor is very important to potentially increase the reliability of motor which ultimately reduce down-time and manpower. In induction motor stator winding and bearing accounts 37 % and 41 % of failures. In bearing these faults are caused by contaminatio...
| Main Author: | SHEIKH, MUHAMMAD AMAN |
|---|---|
| Format: | Thesis |
| Language: | English |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-utpedia.19021 / |
| Published: |
2018
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| Subjects: | |
| Online Access: |
http://utpedia.utp.edu.my/19021/1/FinalThesis%20after%20Viva.pdf http://utpedia.utp.edu.my/19021/ |
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| Summary: |
Online condition monitoring of an induction motor is very important to potentially
increase the reliability of motor which ultimately reduce down-time and manpower. In
induction motor stator winding and bearing accounts 37 % and 41 % of failures. In
bearing these faults are caused by contamination and lubrication issues while the stator
faults are caused by insulation breakdown. |
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