{"id":"https://openalex.org/W4319663625","doi":"https://doi.org/10.1109/access.2023.3243625","title":"Wind Turbine Condition Monitoring Based on Improved Active Learning Strategy and KNN Algorithm","display_name":"Wind Turbine Condition Monitoring Based on Improved Active Learning Strategy and KNN Algorithm","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4319663625","doi":"https://doi.org/10.1109/access.2023.3243625"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3243625","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3243625","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10041157.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10041157.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101046263","display_name":"Chengjia Bao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chengjia Bao","raw_affiliation_strings":["State Grid Gansu Electric Power Company, Lanzhou, China","State Grid Gansu Electric Power Company, Lanzhou, Gansu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Gansu Electric Power Company, Lanzhou, China","institution_ids":[]},{"raw_affiliation_string":"State Grid Gansu Electric Power Company, Lanzhou, Gansu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tianyi Zhang","orcid":"https://orcid.org/0000-0001-6299-2138"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tianyi Zhang","raw_affiliation_strings":["State Grid Lanzhou Electric Power Supply Company, Lanzhou, China","State Grid Lanzhou Electric Power Supply Company, Lanzhou, Gansu, China"],"raw_orcid":"https://orcid.org/0000-0001-6299-2138","affiliations":[{"raw_affiliation_string":"State Grid Lanzhou Electric Power Supply Company, Lanzhou, China","institution_ids":[]},{"raw_affiliation_string":"State Grid Lanzhou Electric Power Supply Company, Lanzhou, Gansu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084556955","display_name":"Zhixi Hu","orcid":"https://orcid.org/0000-0002-2316-8645"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhixi Hu","raw_affiliation_strings":["State Grid Lanzhou Electric Power Supply Company, Lanzhou, China","State Grid Lanzhou Electric Power Supply Company, Lanzhou, Gansu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Lanzhou Electric Power Supply Company, Lanzhou, China","institution_ids":[]},{"raw_affiliation_string":"State Grid Lanzhou Electric Power Supply Company, Lanzhou, Gansu, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112894392","display_name":"Wangjing Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wangjing Feng","raw_affiliation_strings":["State Grid Lanzhou Electric Power Supply Company, Lanzhou, China","State Grid Lanzhou Electric Power Supply Company, Lanzhou, Gansu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Lanzhou Electric Power Supply Company, Lanzhou, China","institution_ids":[]},{"raw_affiliation_string":"State Grid Lanzhou Electric Power Supply Company, Lanzhou, Gansu, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083178455","display_name":"Ru Liu","orcid":"https://orcid.org/0000-0001-5880-5504"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ru Liu","raw_affiliation_strings":["State Grid Lanzhou Electric Power Supply Company, Lanzhou, China","State Grid Lanzhou Electric Power Supply Company, Lanzhou, Gansu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Lanzhou Electric Power Supply Company, Lanzhou, China","institution_ids":[]},{"raw_affiliation_string":"State Grid Lanzhou Electric Power Supply Company, Lanzhou, Gansu, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.2625,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.92846754,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"13545","last_page":"13553"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9796000123023987,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9789999723434448,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scada","display_name":"SCADA","score":0.8303625583648682},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7350311875343323},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6775083541870117},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4983663558959961},{"id":"https://openalex.org/keywords/turbine","display_name":"Turbine","score":0.4523018002510071},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4492751359939575},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4321092665195465},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.4152584373950958},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4110374450683594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.343269944190979},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16968894004821777}],"concepts":[{"id":"https://openalex.org/C113863187","wikidata":"https://www.wikidata.org/wiki/Q17498","display_name":"SCADA","level":2,"score":0.8303625583648682},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7350311875343323},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6775083541870117},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4983663558959961},{"id":"https://openalex.org/C2778449969","wikidata":"https://www.wikidata.org/wiki/Q130760","display_name":"Turbine","level":2,"score":0.4523018002510071},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4492751359939575},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4321092665195465},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.4152584373950958},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4110374450683594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.343269944190979},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16968894004821777},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3243625","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3243625","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10041157.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:73633cc02ce84c798b3a443078e74411","is_oa":true,"landing_page_url":"https://doaj.org/article/73633cc02ce84c798b3a443078e74411","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 13545-13553 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3243625","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3243625","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10041157.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8999999761581421,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4319663625.pdf","grobid_xml":"https://content.openalex.org/works/W4319663625.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1605077306","https://openalex.org/W1998803278","https://openalex.org/W2012878613","https://openalex.org/W2026032857","https://openalex.org/W2038751902","https://openalex.org/W2039641909","https://openalex.org/W2048946027","https://openalex.org/W2050554588","https://openalex.org/W2076333696","https://openalex.org/W2076863095","https://openalex.org/W2145979309","https://openalex.org/W2340505879","https://openalex.org/W2523553285","https://openalex.org/W2607281691","https://openalex.org/W2795411881","https://openalex.org/W2980635665","https://openalex.org/W3004656052","https://openalex.org/W3024716171","https://openalex.org/W3036673944","https://openalex.org/W3082388813","https://openalex.org/W3108580372","https://openalex.org/W3197293835","https://openalex.org/W3213514393","https://openalex.org/W3216254097","https://openalex.org/W4200100018","https://openalex.org/W4226126966","https://openalex.org/W4230030242","https://openalex.org/W4297493937","https://openalex.org/W4307479757"],"related_works":["https://openalex.org/W3214712242","https://openalex.org/W3204461065","https://openalex.org/W1965417009","https://openalex.org/W2085232331","https://openalex.org/W2018320994","https://openalex.org/W2738547440","https://openalex.org/W2460685830","https://openalex.org/W2742210008","https://openalex.org/W2925195937","https://openalex.org/W2741863531"],"abstract_inverted_index":{"As":[0],"the":[1,4,22,46,86,103,108,116,139,145,156,165,169,179],"damage":[2],"of":[3,6,45,88,96,105,110,118,138,147],"gearbox":[5],"wind":[7],"turbines(WTs)":[8],"will":[9,99],"cause":[10],"economic":[11],"losses,":[12],"it":[13],"is":[14,43,69,78,113,129,142],"necessary":[15],"to":[16,80,84,131],"conduct":[17],"online":[18,170],"condition":[19],"monitoring(CM)":[20],"on":[21,35,64],"gearbox.":[23],"Most":[24],"WTs":[25,58],"are":[26,59,173],"equipped":[27],"with":[28],"SCADA":[29,180],"system,":[30],"and":[31,38,57,73,107,168],"CM":[32,171],"method":[33,141,157],"based":[34],"Supervisory":[36],"Control":[37],"Data":[39],"Acquisition":[40],"(SCADA)":[41],"data":[42,98,146],"one":[44],"most":[47],"economical":[48],"methods.":[49],"K":[50],"Nearest":[51],"Neighbor(KNN)":[52],"algorithm":[53,112,125],"has":[54],"good":[55],"robustness,":[56],"typical":[60],"nonlinear":[61],"objects.":[62],"Based":[63],"this,":[65],"KNN":[66,111],"regression":[67],"model":[68],"established":[70],"for":[71],"CM,":[72],"Distance":[74],"Correlation":[75],"(DC)":[76],"coefficient":[77],"used":[79],"select":[81,132],"modeling":[82],"variables":[83],"improve":[85],"shortcomings":[87],"traditional":[89],"feature":[90],"selection":[91],"algorithm.":[92],"A":[93],"large":[94],"amount":[95],"redundant":[97],"be":[100],"generated":[101],"during":[102],"operation":[104],"WTs,":[106],"efficiency":[109],"affected":[114],"by":[115,144],"size":[117],"training":[119,134],"set.":[120],"Therefore,":[121],"an":[122,148],"active":[123],"learning(AL)":[124],"combining":[126],"multiple":[127],"strategies":[128],"proposed":[130,140],"high-quality":[133],"data.":[135],"The":[136,151],"validity":[137],"verified":[143],"actual":[149],"WT.":[150],"experimental":[152],"results":[153,172],"show":[154],"that":[155],"presented":[158],"in":[159,164],"this":[160],"paper":[161],"performs":[162],"well":[163],"comparative":[166],"experiments,":[167],"about":[174],"20":[175],"days":[176],"earlier":[177],"than":[178],"system.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":7}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
