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Application of Genetic Algorithms to Estimate Preventive Maintenance Interval: A Pump Device as a Case Study

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dc.contributor.author Abdelnaser Elwerfalli
dc.contributor.author Faraj Altaher
dc.contributor.author Salih Alsadaie
dc.date.accessioned 2024-11-23T10:57:05Z
dc.date.available 2024-11-23T10:57:05Z
dc.date.issued 2022-01-01
dc.identifier.issn 2958-6569
dc.identifier.uri http://dspace-su.server.ly:8080/xmlui/handle/123456789/566
dc.description.abstract Genetic Algorithms is one of the techniques which has been applied in recent years to contribute to the scheduling of Preventive Maintenance (PM) to improve the whole system performance and run efficiently and effectively. This paper aims to estimate the interval of preventive maintenance for any processing equipment using genetic algorithms. A centrifugal pump is presented as critical equipment to apply a genetic algorithm to prolong the interval of PM. The obtained results show that a genetic algorithm is effective and practical in estimating the optimum time of preventive maintenance for centrifugal pumps en_US
dc.language.iso other en_US
dc.publisher College of Mechanical Engineering Technology, Benghazi, Libya2Chemical Engineering Department, Faculty of Engineering, Sirte University, Sirte, Libya en_US
dc.relation.ispartofseries العدد 1;23-32
dc.subject Preventive maintenance en_US
dc.subject Centrifugal Pumps Maintenance en_US
dc.subject Application of genetic algorithm en_US
dc.title Application of Genetic Algorithms to Estimate Preventive Maintenance Interval: A Pump Device as a Case Study en_US
dc.type Article en_US


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