{"id":"https://openalex.org/W4391114440","doi":"https://doi.org/10.1109/icecet58911.2023.10389387","title":"Hyperparameter Optimization on CNN Using Hyperband for Fault Identification in Wind Turbine High-Speed Shaft Gearbox Bearing","display_name":"Hyperparameter Optimization on CNN Using Hyperband for Fault Identification in Wind Turbine High-Speed Shaft Gearbox Bearing","publication_year":2023,"publication_date":"2023-11-16","ids":{"openalex":"https://openalex.org/W4391114440","doi":"https://doi.org/10.1109/icecet58911.2023.10389387"},"language":"en","primary_location":{"id":"doi:10.1109/icecet58911.2023.10389387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecet58911.2023.10389387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Electrical, Computer and Energy Technologies (ICECET)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043975920","display_name":"Samuel M. Gbashi","orcid":"https://orcid.org/0000-0001-9393-6091"},"institutions":[{"id":"https://openalex.org/I24027795","display_name":"University of Johannesburg","ror":"https://ror.org/04z6c2n17","country_code":"ZA","type":"education","lineage":["https://openalex.org/I24027795"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"Samuel M. Gbashi","raw_affiliation_strings":["University of Johannesburg,Mechanical Engineering Science,South Africa","Mechanical Engineering Science, University of Johannesburg, South Africa"],"affiliations":[{"raw_affiliation_string":"University of Johannesburg,Mechanical Engineering Science,South Africa","institution_ids":["https://openalex.org/I24027795"]},{"raw_affiliation_string":"Mechanical Engineering Science, University of Johannesburg, South Africa","institution_ids":["https://openalex.org/I24027795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044692619","display_name":"Obafemi O. Olatunji","orcid":"https://orcid.org/0000-0003-0783-5441"},"institutions":[{"id":"https://openalex.org/I24027795","display_name":"University of Johannesburg","ror":"https://ror.org/04z6c2n17","country_code":"ZA","type":"education","lineage":["https://openalex.org/I24027795"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Obafemi O. Olatunji","raw_affiliation_strings":["University of Johannesburg,Mechanical Engineering Science,South Africa","Mechanical Engineering Science, University of Johannesburg, South Africa","Process, Energy, and Environmental Technology Station, University of Johannesburg, South Africa"],"affiliations":[{"raw_affiliation_string":"University of Johannesburg,Mechanical Engineering Science,South Africa","institution_ids":["https://openalex.org/I24027795"]},{"raw_affiliation_string":"Mechanical Engineering Science, University of Johannesburg, South Africa","institution_ids":["https://openalex.org/I24027795"]},{"raw_affiliation_string":"Process, Energy, and Environmental Technology Station, University of Johannesburg, South Africa","institution_ids":["https://openalex.org/I24027795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070290587","display_name":"Paul A. Adedeji","orcid":"https://orcid.org/0000-0002-2212-0623"},"institutions":[{"id":"https://openalex.org/I24027795","display_name":"University of Johannesburg","ror":"https://ror.org/04z6c2n17","country_code":"ZA","type":"education","lineage":["https://openalex.org/I24027795"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Paul A. Adedeji","raw_affiliation_strings":["University of Johannesburg,Mechanical Engineering Science,South Africa","Process, Energy, and Environmental Technology Station, University of Johannesburg, South Africa","Mechanical Engineering Science, University of Johannesburg, South Africa"],"affiliations":[{"raw_affiliation_string":"University of Johannesburg,Mechanical Engineering Science,South Africa","institution_ids":["https://openalex.org/I24027795"]},{"raw_affiliation_string":"Process, Energy, and Environmental Technology Station, University of Johannesburg, South Africa","institution_ids":["https://openalex.org/I24027795"]},{"raw_affiliation_string":"Mechanical Engineering Science, University of Johannesburg, South Africa","institution_ids":["https://openalex.org/I24027795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074104836","display_name":"Nkosinathi Madushele","orcid":"https://orcid.org/0000-0001-9578-241X"},"institutions":[{"id":"https://openalex.org/I24027795","display_name":"University of Johannesburg","ror":"https://ror.org/04z6c2n17","country_code":"ZA","type":"education","lineage":["https://openalex.org/I24027795"]},{"id":"https://openalex.org/I177181097","display_name":"Durban University of Technology","ror":"https://ror.org/0303y7a51","country_code":"ZA","type":"education","lineage":["https://openalex.org/I177181097"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Nkosinathi Madushele","raw_affiliation_strings":["University of Johannesburg,Mechanical Engineering Science,South Africa","Mechanical Engineering Science, Durban University of Technology, Durban, South Africa","Mechanical Engineering Science, University of Johannesburg, South Africa"],"affiliations":[{"raw_affiliation_string":"University of Johannesburg,Mechanical Engineering Science,South Africa","institution_ids":["https://openalex.org/I24027795"]},{"raw_affiliation_string":"Mechanical Engineering Science, Durban University of Technology, Durban, South Africa","institution_ids":["https://openalex.org/I177181097"]},{"raw_affiliation_string":"Mechanical Engineering Science, University of Johannesburg, South Africa","institution_ids":["https://openalex.org/I24027795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043975920"],"corresponding_institution_ids":["https://openalex.org/I24027795"],"apc_list":null,"apc_paid":null,"fwci":1.5008,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.83076496,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12252","display_name":"Mechanical stress and fatigue analysis","score":0.9532999992370605,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.913720965385437},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7499997019767761},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6529996395111084},{"id":"https://openalex.org/keywords/turbine","display_name":"Turbine","score":0.6518692374229431},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.5361255407333374},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4923781156539917},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48374462127685547},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.47760888934135437},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4769531488418579},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.46662816405296326},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41906416416168213},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24212563037872314},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.12796491384506226},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.11515611410140991}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.913720965385437},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7499997019767761},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6529996395111084},{"id":"https://openalex.org/C2778449969","wikidata":"https://www.wikidata.org/wiki/Q130760","display_name":"Turbine","level":2,"score":0.6518692374229431},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.5361255407333374},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4923781156539917},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48374462127685547},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.47760888934135437},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4769531488418579},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.46662816405296326},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41906416416168213},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24212563037872314},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.12796491384506226},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.11515611410140991},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icecet58911.2023.10389387","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecet58911.2023.10389387","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Electrical, Computer and Energy Technologies (ICECET)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G3527036037","display_name":null,"funder_award_id":"[129742]","funder_id":"https://openalex.org/F4320333169","funder_display_name":"National Science Foundation, United Arab Emirates"},{"id":"https://openalex.org/G3895237170","display_name":null,"funder_award_id":"[129742]","funder_id":"https://openalex.org/F4320323959","funder_display_name":"University of Johannesburg"}],"funders":[{"id":"https://openalex.org/F4320323959","display_name":"University of Johannesburg","ror":"https://ror.org/04z6c2n17"},{"id":"https://openalex.org/F4320333169","display_name":"National Science Foundation, United Arab Emirates","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2782093256","https://openalex.org/W2799162308","https://openalex.org/W2809254203","https://openalex.org/W2894023172","https://openalex.org/W2961605225","https://openalex.org/W3092201318","https://openalex.org/W3111140035","https://openalex.org/W3131148586","https://openalex.org/W3137718885","https://openalex.org/W3159913937","https://openalex.org/W3168699803","https://openalex.org/W3213234209","https://openalex.org/W4200221661","https://openalex.org/W4205637505","https://openalex.org/W4214642793","https://openalex.org/W4293868382","https://openalex.org/W4312570202","https://openalex.org/W4312875279","https://openalex.org/W4313479596","https://openalex.org/W4319663625","https://openalex.org/W4383336735","https://openalex.org/W6747134593"],"related_works":["https://openalex.org/W4390421286","https://openalex.org/W4280563792","https://openalex.org/W2140186469","https://openalex.org/W4389724018","https://openalex.org/W4318719684","https://openalex.org/W2775233965","https://openalex.org/W4206951940","https://openalex.org/W4293868382","https://openalex.org/W4382602594","https://openalex.org/W4387850423"],"abstract_inverted_index":{"Given":[0],"the":[1,6,30,64,81,91,95,111,127,131,147,153,158,177],"adverse":[2],"operating":[3,179],"regime":[4],"of":[5,24,57,80,94,126,152,160,176],"wind":[7,58],"turbine":[8,59],"gearbox,":[9],"fault":[10,50],"recognition":[11],"models":[12],"for":[13,19,48,121,136,141],"components":[14],"need":[15,31],"to":[16,32,68,171],"be":[17],"optimized":[18,76,132],"reliable":[20],"operation.":[21],"However,":[22],"selection":[23],"optimal":[25],"hyperparameter":[26,85],"is":[27],"challenging,":[28],"given":[29],"balance":[33],"accuracy":[34],"with":[35,87,98,164],"computational":[36],"efficiency.":[37],"Therefore,":[38],"this":[39],"study":[40,82,154],"proposed":[41],"a":[42,70,161],"hyperband-optimized":[43],"convolutional":[44,71],"neural":[45,72],"network":[46,73],"model":[47,75,113,133,163],"robust":[49],"identification":[51],"in":[52,146],"high-speed":[53],"shaft":[54],"bearing":[55],"(HSSB)":[56],"gearbox.":[60],"Vibration":[61],"signals":[62,174],"from":[63],"HSSB":[65],"were":[66],"employed":[67],"train":[69],"(CNN)":[74],"using":[77],"Hyperband.":[78],"Results":[79,151],"show":[83],"that":[84,156],"optimization":[86],"hyperband":[88],"significantly":[89],"improved":[90],"diagnostic":[92],"power":[93],"CNN":[96,162],"classifier,":[97],"accuracy,":[99,137],"sensitivity,":[100,138],"and":[101,107,139,169],"specificity":[102,140],"increasing":[103],"by":[104],"12.8%,":[105],"29.3%,":[106],"15.9%,":[108],"respectively.":[109],"Whereas":[110],"standalone":[112],"scored":[114,134],"below":[115],"90%":[116],"on":[117],"all":[118,122,142],"performance":[119,168],"metrics,":[120],"signal-to-noise":[123],"ratios":[124],"(SNRs)":[125],"noise-induced":[128,148],"test":[129,149],"data,":[130],"100%":[135],"SNRs":[143],"above":[144],"8dB":[145],"data.":[150],"demonstrate":[155],"optimizing":[157],"hyperparameters":[159],"Hyperband":[165],"improves":[166],"its":[167],"immunity":[170],"noisy":[172],"vibration":[173],"characteristic":[175],"HSSB's":[178],"regime.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4}],"updated_date":"2026-01-20T17:24:06.736184","created_date":"2025-10-10T00:00:00"}
