A NON-INVASIVE METHODS FOR DIAGNOSING AND SEGREGATION OF ELECTRICAL AND BEARING FAULTS IN INDUCTION MOTORS

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...

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Main Author: SHEIKH, MUHAMMAD AMAN
Format: Thesis
Language:English
Published: 2018
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://utpedia.utp.edu.my/19021/1/FinalThesis%20after%20Viva.pdf
http://utpedia.utp.edu.my/19021/
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Institution: Universiti Teknologi Petronas
Language: English
id my-utp-utpedia.19021
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spelling my-utp-utpedia.190212019-05-14T15:17:32Z http://utpedia.utp.edu.my/19021/ A NON-INVASIVE METHODS FOR DIAGNOSING AND SEGREGATION OF ELECTRICAL AND BEARING FAULTS IN INDUCTION MOTORS SHEIKH, MUHAMMAD AMAN TK Electrical engineering. Electronics Nuclear engineering 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. 2018-03 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/19021/1/FinalThesis%20after%20Viva.pdf SHEIKH, MUHAMMAD AMAN (2018) A NON-INVASIVE METHODS FOR DIAGNOSING AND SEGREGATION OF ELECTRICAL AND BEARING FAULTS IN INDUCTION MOTORS. PhD thesis, Universiti Teknologi PETRONAS.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
SHEIKH, MUHAMMAD AMAN
A NON-INVASIVE METHODS FOR DIAGNOSING AND SEGREGATION OF ELECTRICAL AND BEARING FAULTS IN INDUCTION MOTORS
description 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.
format Thesis
author SHEIKH, MUHAMMAD AMAN
author_facet SHEIKH, MUHAMMAD AMAN
author_sort SHEIKH, MUHAMMAD AMAN
title A NON-INVASIVE METHODS FOR DIAGNOSING AND SEGREGATION OF ELECTRICAL AND BEARING FAULTS IN INDUCTION MOTORS
title_short A NON-INVASIVE METHODS FOR DIAGNOSING AND SEGREGATION OF ELECTRICAL AND BEARING FAULTS IN INDUCTION MOTORS
title_full A NON-INVASIVE METHODS FOR DIAGNOSING AND SEGREGATION OF ELECTRICAL AND BEARING FAULTS IN INDUCTION MOTORS
title_fullStr A NON-INVASIVE METHODS FOR DIAGNOSING AND SEGREGATION OF ELECTRICAL AND BEARING FAULTS IN INDUCTION MOTORS
title_full_unstemmed A NON-INVASIVE METHODS FOR DIAGNOSING AND SEGREGATION OF ELECTRICAL AND BEARING FAULTS IN INDUCTION MOTORS
title_sort non-invasive methods for diagnosing and segregation of electrical and bearing faults in induction motors
publishDate 2018
url http://utpedia.utp.edu.my/19021/1/FinalThesis%20after%20Viva.pdf
http://utpedia.utp.edu.my/19021/
_version_ 1739832577790836736

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