{"id":"https://openalex.org/W4405909039","doi":"https://doi.org/10.1109/icspis63676.2024.10812622","title":"Enhanced Fault Identification and Classification of Wind Turbine Blades using Machine Learning","display_name":"Enhanced Fault Identification and Classification of Wind Turbine Blades using Machine Learning","publication_year":2024,"publication_date":"2024-11-12","ids":{"openalex":"https://openalex.org/W4405909039","doi":"https://doi.org/10.1109/icspis63676.2024.10812622"},"language":"en","primary_location":{"id":"doi:10.1109/icspis63676.2024.10812622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspis63676.2024.10812622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Signal Processing and Information Security (ICSPIS)","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/A5094030575","display_name":"M. Bharathi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Bharathi","raw_affiliation_strings":["Kumaraguru College of Technology,Department of Electronics and Communication Engineering,Coimbatore,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kumaraguru College of Technology,Department of Electronics and Communication Engineering,Coimbatore,India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000127521","display_name":"A. Amsaveni","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A. Amsaveni","raw_affiliation_strings":["Kumaraguru College of Technology,Department of Electronics and Communication Engineering,Coimbatore,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kumaraguru College of Technology,Department of Electronics and Communication Engineering,Coimbatore,India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034508853","display_name":"K Sowmiya","orcid":"https://orcid.org/0009-0002-5698-1285"},"institutions":[{"id":"https://openalex.org/I65220239","display_name":"Karpagam Academy of Higher Education","ror":"https://ror.org/00ssvzv66","country_code":"IN","type":"education","lineage":["https://openalex.org/I65220239"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K Sowmiya","raw_affiliation_strings":["Karpagam Academy of Higher Education,Department of Electronics and Communication Engineering,Coimbatore,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Karpagam Academy of Higher Education,Department of Electronics and Communication Engineering,Coimbatore,India","institution_ids":["https://openalex.org/I65220239"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5826,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.702419,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.996999979019165,"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":0.996999979019165,"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/T11202","display_name":"Cavitation Phenomena in Pumps","score":0.9739999771118164,"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"}},{"id":"https://openalex.org/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9718000292778015,"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/turbine","display_name":"Turbine","score":0.6320728063583374},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.6233766078948975},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6070243120193481},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5752336382865906},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5425752401351929},{"id":"https://openalex.org/keywords/turbine-blade","display_name":"Turbine blade","score":0.48160478472709656},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4414959251880646},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.43771812319755554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.413069486618042},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.35157474875450134},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.2057744562625885},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11094275116920471},{"id":"https://openalex.org/keywords/actuator","display_name":"Actuator","score":0.0675663948059082},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.06645634770393372}],"concepts":[{"id":"https://openalex.org/C2778449969","wikidata":"https://www.wikidata.org/wiki/Q130760","display_name":"Turbine","level":2,"score":0.6320728063583374},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.6233766078948975},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6070243120193481},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5752336382865906},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5425752401351929},{"id":"https://openalex.org/C20381859","wikidata":"https://www.wikidata.org/wiki/Q829511","display_name":"Turbine blade","level":3,"score":0.48160478472709656},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4414959251880646},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.43771812319755554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.413069486618042},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.35157474875450134},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.2057744562625885},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11094275116920471},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0675663948059082},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.06645634770393372},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icspis63676.2024.10812622","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icspis63676.2024.10812622","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Signal Processing and Information Security (ICSPIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8500000238418579,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2979571043","https://openalex.org/W3087179963","https://openalex.org/W3194872248","https://openalex.org/W3201953674","https://openalex.org/W4200270285","https://openalex.org/W4291123586","https://openalex.org/W4328050564","https://openalex.org/W4388181549","https://openalex.org/W4400255712"],"related_works":["https://openalex.org/W2557657611","https://openalex.org/W3214712242","https://openalex.org/W2542556245","https://openalex.org/W3204461065","https://openalex.org/W1965417009","https://openalex.org/W2018320994","https://openalex.org/W2460685830","https://openalex.org/W2738547440","https://openalex.org/W3033558281","https://openalex.org/W2741863531"],"abstract_inverted_index":{"Wind":[0,8],"energy":[1,11],"is":[2,49,123],"rapidly":[3],"growing":[4],"across":[5],"the":[6,18,25,70,76,84,177,181,185],"world.":[7],"Turbine":[9],"generate":[10],"without":[12],"emitting":[13],"greenhouse":[14],"gases.":[15],"Faults":[16],"in":[17,72,155],"wind":[19,31,73,182,189],"turbine":[20,32],"blades":[21,71],"can":[22],"considerably":[23],"impact":[24],"efficiency,":[26],"reliability":[27],"and":[28,52,66,105,116,142,148,158,170],"safety":[29],"of":[30,36,78,180,188],"operations.":[33,119],"Traditional":[34],"methods":[35],"fault":[37,64,163],"detection":[38,65,156,164],"often":[39],"rely":[40],"on":[41,109],"human":[42,55],"inspection":[43],"or":[44],"basic":[45],"monitoring":[46],"systems":[47],"which":[48,112,129],"time":[50],"consuming":[51],"prone":[53],"to":[54,100,176],"errors.":[56],"In":[57],"this":[58,150],"paper":[59],"we":[60],"use":[61],"an":[62],"enhanced":[63,162],"classification":[67,159],"method":[68,122],"for":[69],"turbines":[74],"with":[75],"help":[77],"different":[79],"machine":[80],"learning":[81],"algorithms":[82],"using":[83,125],"images":[85],"captured":[86],"by":[87,137],"Unmanned":[88],"Arial":[89],"Vehicles":[90],"(UAVs).":[91],"By":[92],"leveraging":[93],"advanced":[94],"ML":[95],"algorithms,":[96],"our":[97],"approach":[98],"aims":[99],"accurately":[101],"detect":[102],"early-stage":[103],"faults":[104],"classify":[106],"them":[107],"based":[108],"their":[110],"types,":[111],"helps":[113],"more":[114],"precise":[115],"timely":[117],"maintenance":[118,171],"The":[120],"proposed":[121],"trained":[124],"a":[126],"comprehensive":[127],"dataset":[128],"includes":[130],"various":[131],"blade":[132],"conditions,":[133],"including":[134],"those":[135],"affected":[136],"environmental":[138],"factors,":[139],"material":[140],"fatigue,":[141],"operational":[143,178],"stress.":[144],"Through":[145],"extensive":[146],"testing":[147],"validation,":[149],"work":[151],"demonstrates":[152],"significant":[153],"improvement":[154],"accuracy":[157],"performance.":[160],"This":[161],"framework":[165],"not":[166],"only":[167],"reduces":[168],"downtime":[169],"cost":[172],"but":[173],"also":[174],"contributes":[175],"efficiency":[179],"turbines,":[183],"Supporting":[184],"sustainable":[186],"growth":[187],"energy.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
