Modeling the Isentropic Head Value of Centrifugal Gas Compressor using Genetic Programming
Gas compressor performance is vital in oil and gas industry because of the equipment criticality which 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 recom...
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Online Access: | http://dx.doi.org/10.1051/matecconf/20163801001 |
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doaj-b41b5bcacb634a7999edbd392094fe6a2021-04-02T11:36:18ZengEDP SciencesMATEC Web of Conferences2261-236X2016-01-01380100110.1051/matecconf/20163801001matecconf_ses2016_01001Modeling the Isentropic Head Value of Centrifugal Gas Compressor using Genetic ProgrammingSafiyullah Ferozkhan0Sulaiman Shaharin Anwar1Zakaria Nordin2Jasmani Mohd Shahrizal3Ghazali Syed Muhammad Afdhal4Department of Mechanical Engineering, Universiti Teknologi PETRONASDepartment of Mechanical Engineering, Universiti Teknologi PETRONASDepartment of Computer & Information Sciences, Universiti Teknologi PETRONASPETRONAS Carigali Sdn. Bhd.PETRONAS Carigali Sdn. Bhd.Gas compressor performance is vital in oil and gas industry because of the equipment criticality which 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 equipment manufacturer (OEM). The objective of this work is to develop the computational model to find the isentropic head value using genetic programming. The isentropic head value is calculated from the OEM performance chart. Inlet mass flow rate and speed of the compressor are taken as the input value. The obtained results from the GP computational models show good agreement with experimental and target data with the average prediction error of 1.318%. The genetic programming computational model will assist machinery engineers to quantify performance deterioration of gas compressor and the results from this study will be then utilized to estimate future maintenance requirements based on the historical data. In general, this genetic programming modelling provides a powerful solution for gas compressor operators to realize predictive maintenance approach in their operations.http://dx.doi.org/10.1051/matecconf/20163801001Genetic programminggas compressorcomputational modelpredictive maintenance |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Safiyullah Ferozkhan Sulaiman Shaharin Anwar Zakaria Nordin Jasmani Mohd Shahrizal Ghazali Syed Muhammad Afdhal |
spellingShingle |
Safiyullah Ferozkhan Sulaiman Shaharin Anwar Zakaria Nordin Jasmani Mohd Shahrizal Ghazali Syed Muhammad Afdhal Modeling the Isentropic Head Value of Centrifugal Gas Compressor using Genetic Programming MATEC Web of Conferences Genetic programming gas compressor computational model predictive maintenance |
author_facet |
Safiyullah Ferozkhan Sulaiman Shaharin Anwar Zakaria Nordin Jasmani Mohd Shahrizal Ghazali Syed Muhammad Afdhal |
author_sort |
Safiyullah Ferozkhan |
title |
Modeling the Isentropic Head Value of Centrifugal Gas Compressor using Genetic Programming |
title_short |
Modeling the Isentropic Head Value of Centrifugal Gas Compressor using Genetic Programming |
title_full |
Modeling the Isentropic Head Value of Centrifugal Gas Compressor using Genetic Programming |
title_fullStr |
Modeling the Isentropic Head Value of Centrifugal Gas Compressor using Genetic Programming |
title_full_unstemmed |
Modeling the Isentropic Head Value of Centrifugal Gas Compressor using Genetic Programming |
title_sort |
modeling the isentropic head value of centrifugal gas compressor using genetic programming |
publisher |
EDP Sciences |
series |
MATEC Web of Conferences |
issn |
2261-236X |
publishDate |
2016-01-01 |
description |
Gas compressor performance is vital in oil and gas industry because of the equipment criticality which 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 equipment manufacturer (OEM). The objective of this work is to develop the computational model to find the isentropic head value using genetic programming. The isentropic head value is calculated from the OEM performance chart. Inlet mass flow rate and speed of the compressor are taken as the input value. The obtained results from the GP computational models show good agreement with experimental and target data with the average prediction error of 1.318%. The genetic programming computational model will assist machinery engineers to quantify performance deterioration of gas compressor and the results from this study will be then utilized to estimate future maintenance requirements based on the historical data. In general, this genetic programming modelling provides a powerful solution for gas compressor operators to realize predictive maintenance approach in their operations. |
topic |
Genetic programming gas compressor computational model predictive maintenance |
url |
http://dx.doi.org/10.1051/matecconf/20163801001 |
work_keys_str_mv |
AT safiyullahferozkhan modelingtheisentropicheadvalueofcentrifugalgascompressorusinggeneticprogramming AT sulaimanshaharinanwar modelingtheisentropicheadvalueofcentrifugalgascompressorusinggeneticprogramming AT zakarianordin modelingtheisentropicheadvalueofcentrifugalgascompressorusinggeneticprogramming AT jasmanimohdshahrizal modelingtheisentropicheadvalueofcentrifugalgascompressorusinggeneticprogramming AT ghazalisyedmuhammadafdhal modelingtheisentropicheadvalueofcentrifugalgascompressorusinggeneticprogramming |
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1724164293383946240 |