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

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 principl...

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Bibliographic Details
Main Author: SARWAR, UMAIR
Format: Thesis
Language:English
Published: 2015
Subjects:
Online Access:http://utpedia.utp.edu.my/21480/1/2015-MECHANICAL-FAULT%20DIAGNOSIS%20MODEL%20FOR%20ROTATING%20MACHINERY%20BASED%20ON%20MULTIPLE%20CONDITION%20MONITORING%20DATA%20SOURCES-UMAIR%20SARWAR.pdf
http://utpedia.utp.edu.my/21480/
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Summary: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.