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

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.

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Abstract

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.

Item Type: Thesis (PhD)
Academic Subject : Academic Department - Electrical And Electronics - Pervasisve Systems - Digital Electronics - Design
Subject: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Engineering > Electrical and Electronic
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 14 May 2019 15:17
Last Modified: 14 May 2019 15:17
URI: http://utpedia.utp.edu.my/id/eprint/19021

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