COMPUTATIONAL MODELING OF GAS COMPRESSOR DIAGNOSTICS USING GENETIC PROGRAMMING

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 re...

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Main Author: SAFIYULLAH, FEROZKHAN
Format: Thesis
Language:English
Published: 2016
Subjects:
Online Access:http://utpedia.utp.edu.my/id/eprint/21478/1/2015-MECHANICAL-COMPUTATIONAL%20MODELING%20GAS%20COMPRESOR%20DIAGNOSTICS%20USING%20GENETIC%20PROGRAMMING-FEROZKHAN%20SAFIYULLAH.pdf
http://utpedia.utp.edu.my/id/eprint/21478/
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spelling oai:utpedia.utp.edu.my:214782024-07-25T00:26:58Z http://utpedia.utp.edu.my/id/eprint/21478/ COMPUTATIONAL MODELING OF GAS COMPRESSOR DIAGNOSTICS USING GENETIC PROGRAMMING SAFIYULLAH, FEROZKHAN TJ Mechanical engineering and machinery 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. 2016-10 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/id/eprint/21478/1/2015-MECHANICAL-COMPUTATIONAL%20MODELING%20GAS%20COMPRESOR%20DIAGNOSTICS%20USING%20GENETIC%20PROGRAMMING-FEROZKHAN%20SAFIYULLAH.pdf SAFIYULLAH, FEROZKHAN (2016) COMPUTATIONAL MODELING OF GAS COMPRESSOR DIAGNOSTICS USING GENETIC PROGRAMMING. Masters thesis, Universiti Teknologi PETRONAS.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
SAFIYULLAH, FEROZKHAN
COMPUTATIONAL MODELING OF GAS COMPRESSOR DIAGNOSTICS USING GENETIC PROGRAMMING
description 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.
format Thesis
author SAFIYULLAH, FEROZKHAN
author_facet SAFIYULLAH, FEROZKHAN
author_sort SAFIYULLAH, FEROZKHAN
title COMPUTATIONAL MODELING OF GAS COMPRESSOR DIAGNOSTICS USING GENETIC PROGRAMMING
title_short COMPUTATIONAL MODELING OF GAS COMPRESSOR DIAGNOSTICS USING GENETIC PROGRAMMING
title_full COMPUTATIONAL MODELING OF GAS COMPRESSOR DIAGNOSTICS USING GENETIC PROGRAMMING
title_fullStr COMPUTATIONAL MODELING OF GAS COMPRESSOR DIAGNOSTICS USING GENETIC PROGRAMMING
title_full_unstemmed COMPUTATIONAL MODELING OF GAS COMPRESSOR DIAGNOSTICS USING GENETIC PROGRAMMING
title_sort computational modeling of gas compressor diagnostics using genetic programming
publishDate 2016
url http://utpedia.utp.edu.my/id/eprint/21478/1/2015-MECHANICAL-COMPUTATIONAL%20MODELING%20GAS%20COMPRESOR%20DIAGNOSTICS%20USING%20GENETIC%20PROGRAMMING-FEROZKHAN%20SAFIYULLAH.pdf
http://utpedia.utp.edu.my/id/eprint/21478/
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score 13.211869