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COMPUTATIONAL MODELING OF GAS COMPRESSOR DIAGNOSTICS USING GENETIC PROGRAMMING

SAFIYULLAH, FEROZKHAN (2015) COMPUTATIONAL MODELING OF GAS COMPRESSOR DIAGNOSTICS USING GENETIC PROGRAMMING. Masters thesis, Universiti Teknologi PETRONAS.

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Abstract

Gas compressor diagnostics are vital in oil and gas industry because of the equipment criticalitywhich requires continuous operations. Plant operators often face difficulties in predicting appropriate time for maintenance and would usually rely on time based predictive maintenance intervals as recommended by original equipmentmanufacturer (OEM). Delayed decision on compressor maintenance intervention would cause prolonged downtime due to poorreadiness of spare parts and resources. The objective of this work is to develop a diagnosticmodel for gas compressor in oil and gas industry using the novel approach of genetic programming that can overcome the maintenance problems in relation to prediction of downtime. The maintenance activity of the gas compressor canbepredicted bycalculating the performance degradation.

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: 20 Sep 2021 09:00
Last Modified: 20 Sep 2021 09:00
URI: http://utpedia.utp.edu.my/id/eprint/21478

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