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Optimization of cable fault recognition system using particle swarm optimization

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dc.contributor.authorRaymond W.J.K.en_US
dc.contributor.authorJing C.H.en_US
dc.contributor.authorKuan T.M.en_US
dc.contributor.authorid55193255600en_US
dc.contributor.authorid57219417197en_US
dc.contributor.authorid49561583600en_US
dc.date.accessioned2023-05-29T08:12:22Z
dc.date.available2023-05-29T08:12:22Z
dc.date.issued2020
dc.description.abstractIn this paper, a Partial Discharge (PD) based cable fault recognition system has been constructed using Artificial Neural Network (ANN), Support Vector Machine (SVM) and Adaptive Neuro Fuzzy Inference System (ANFIS). The cable fault recognition system can perform well under noise free condition but endures performance deterioration when PD noise contamination is present. Particle Swarm Optimization (PSO) was used to enhance the performance of classifiers under noise contamination. A performance review has been done to compare the optimized and unoptimized cable fault recognition under noise contamination. Results show that PSO optimized cable fault recognition systems perform better compared to unoptimized cable fault recognition systems. Among the optimized cable fault recognition systems, ANN outperforms SVM and ANFIS. � 2020, World Academy of Research in Science and Engineering. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo23
dc.identifier.doi10.30534/ijeter/2020/2381.12020
dc.identifier.epage152
dc.identifier.issue1 Special Issue 1
dc.identifier.scopus2-s2.0-85092674088
dc.identifier.spage147
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85092674088&doi=10.30534%2fijeter%2f2020%2f2381.12020&partnerID=40&md5=8b9881be26b87d4c29566537ed325cf6
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25661
dc.identifier.volume8
dc.publisherWorld Academy of Research in Science and Engineeringen_US
dc.relation.ispartofAll Open Access, Bronze
dc.sourceScopus
dc.sourcetitleInternational Journal of Emerging Trends in Engineering Research
dc.titleOptimization of cable fault recognition system using particle swarm optimizationen_US
dc.typeArticleen_US
dspace.entity.typePublication
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