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

SARWAR, UMAIR (2016) FAULT DIAGNOSIS MODEL FOR ROTATING MACHINERY BASED ON MULTIPLE CONDITION MONITORING DATA SOURCES. Masters thesis, Universiti Teknologi PETRONAS.

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2015-MECHANICAL-FAULT DIAGNOSIS MODEL FOR ROTATING MACHINERY BASED ON MULTIPLE CONDITION MONITORING DATA SOURCES-UMAIR SARWAR.pdf
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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)
Subjects: T Technology > TJ Mechanical engineering and machinery
Departments / MOR / COE: Engineering > Mechanical
Depositing User: Mr Ahmad Suhairi Mohamed Lazim
Date Deposited: 19 Sep 2021 21:07
Last Modified: 25 Jul 2024 00:32
URI: http://utpedia.utp.edu.my/id/eprint/21480

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