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FAULT DIAGNOSIS MODEL FOR ROTATING MACHINERY BASED ON MULTIPLE CONDITION MONITORING DATA SOURCES

SARWAR, UMAIR (2015) FAULT DIAGNOSIS MODEL FOR ROTATING MACHINERY BASED ON MULTIPLE CONDITION MONITORING DATA SOURCES. Masters thesis, Universiti Teknologi PETRONAS.

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Abstract

Failure of rotating machineries is an inevitable incident in process industries, leading to catastrophic outcomes. There is therefore the need to continuously monitor the condition of machines and identify impending faults long before disastrous breakdowns occur. Diagnosis of faults is a principle part of condition-based maintenance (CBM) and intends to detect the faults before it occur. In recent years fault diagnosis of rotating machinery has been a concern of great interest because of the increasing demand and the requirements for reliable operations.

Item Type: Thesis (Masters)
Academic Subject : Academic Department - Mechanical Engineering - Materials - Engineering materials - Metals alloys - Fabrication
Subject: T Technology > TJ Mechanical engineering and machinery
Divisions: Engineering > Mechanical
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 19 Sep 2021 21:07
Last Modified: 19 Sep 2021 21:07
URI: http://utpedia.utp.edu.my/id/eprint/21480

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