Optimized Approach of Feature Selection Based on Binary Genetic Algorithm in Classification of Induction Motor Faults

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Bibliographic Details
Main Author: Truong-An Le
Format: Article
Language:English
Published: Polish Information Processing Society 2022-02-01
Series:Annals of computer science and information systems
Online Access:https://annals-csis.org/Volume_33/drp/pdf/30.pdf
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author Truong-An Le
author_facet Truong-An Le
author_sort Truong-An Le
collection DOAJ
format Article
id doaj-art-ef44ceca36e641da9cdb355b86ce713b
institution DOAJ
issn 2300-5963
language English
publishDate 2022-02-01
publisher Polish Information Processing Society
record_format Article
series Annals of computer science and information systems
spelling doaj-art-ef44ceca36e641da9cdb355b86ce713b2025-08-20T02:40:58ZengPolish Information Processing SocietyAnnals of computer science and information systems2300-59632022-02-013314515010.15439/2022R30Optimized Approach of Feature Selection Based on Binary Genetic Algorithm in Classification of Induction Motor FaultsTruong-An Lehttps://annals-csis.org/Volume_33/drp/pdf/30.pdf
spellingShingle Truong-An Le
Optimized Approach of Feature Selection Based on Binary Genetic Algorithm in Classification of Induction Motor Faults
Annals of computer science and information systems
title Optimized Approach of Feature Selection Based on Binary Genetic Algorithm in Classification of Induction Motor Faults
title_full Optimized Approach of Feature Selection Based on Binary Genetic Algorithm in Classification of Induction Motor Faults
title_fullStr Optimized Approach of Feature Selection Based on Binary Genetic Algorithm in Classification of Induction Motor Faults
title_full_unstemmed Optimized Approach of Feature Selection Based on Binary Genetic Algorithm in Classification of Induction Motor Faults
title_short Optimized Approach of Feature Selection Based on Binary Genetic Algorithm in Classification of Induction Motor Faults
title_sort optimized approach of feature selection based on binary genetic algorithm in classification of induction motor faults
url https://annals-csis.org/Volume_33/drp/pdf/30.pdf
work_keys_str_mv AT truonganle optimizedapproachoffeatureselectionbasedonbinarygeneticalgorithminclassificationofinductionmotorfaults