{"id":"https://openalex.org/W4388280039","doi":"https://doi.org/10.1109/safeprocess58597.2023.10295786","title":"Feature Reconstruction and Gated Recurrent Unit based Fault Diagnosis of Wind Turbines","display_name":"Feature Reconstruction and Gated Recurrent Unit based Fault Diagnosis of Wind Turbines","publication_year":2023,"publication_date":"2023-09-22","ids":{"openalex":"https://openalex.org/W4388280039","doi":"https://doi.org/10.1109/safeprocess58597.2023.10295786"},"language":"en","primary_location":{"id":"doi:10.1109/safeprocess58597.2023.10295786","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/safeprocess58597.2023.10295786","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5064212043","display_name":"Dazi Li","orcid":"https://orcid.org/0000-0003-1610-6558"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dazi Li","raw_affiliation_strings":["Beijing University of Chemical Technology,College of Information Science and Technology,Beijing,China","College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Chemical Technology,College of Information Science and Technology,Beijing,China","institution_ids":["https://openalex.org/I75390827"]},{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104324112","display_name":"Yanyang Bao","orcid":null},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyang Bao","raw_affiliation_strings":["Beijing University of Chemical Technology,College of Information Science and Technology,Beijing,China","College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Chemical Technology,College of Information Science and Technology,Beijing,China","institution_ids":["https://openalex.org/I75390827"]},{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077747730","display_name":"Xin Ma","orcid":"https://orcid.org/0000-0003-1291-3977"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Ma","raw_affiliation_strings":["Beijing University of Chemical Technology,College of Information Science and Technology,Beijing,China","College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Chemical Technology,College of Information Science and Technology,Beijing,China","institution_ids":["https://openalex.org/I75390827"]},{"raw_affiliation_string":"College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I75390827"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T12086","display_name":"Structural Integrity and Reliability Analysis","score":0.9947999715805054,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.7642832398414612},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7033630609512329},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.674667239189148},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5769430994987488},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5723184943199158},{"id":"https://openalex.org/keywords/turbine","display_name":"Turbine","score":0.5637471675872803},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5219235420227051},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4905535578727722},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4902811348438263},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4673265516757965},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.45661821961402893},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.44322314858436584},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.43132686614990234},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34060919284820557},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2774425745010376},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.15233147144317627},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07117190957069397}],"concepts":[{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.7642832398414612},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7033630609512329},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.674667239189148},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5769430994987488},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5723184943199158},{"id":"https://openalex.org/C2778449969","wikidata":"https://www.wikidata.org/wiki/Q130760","display_name":"Turbine","level":2,"score":0.5637471675872803},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5219235420227051},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4905535578727722},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4902811348438263},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4673265516757965},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.45661821961402893},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.44322314858436584},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.43132686614990234},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34060919284820557},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2774425745010376},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.15233147144317627},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07117190957069397},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/safeprocess58597.2023.10295786","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/safeprocess58597.2023.10295786","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.9100000262260437}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1605077306","https://openalex.org/W1924770834","https://openalex.org/W2059157893","https://openalex.org/W2224737408","https://openalex.org/W2357321897","https://openalex.org/W2924453407","https://openalex.org/W2963009098","https://openalex.org/W3045867310","https://openalex.org/W3159011864","https://openalex.org/W3172563942","https://openalex.org/W4297329610","https://openalex.org/W4304114242","https://openalex.org/W4307289643","https://openalex.org/W4312208469","https://openalex.org/W4319444942","https://openalex.org/W4321485736","https://openalex.org/W6640212811"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W3092506759","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W120741642","https://openalex.org/W138569904","https://openalex.org/W2390914021","https://openalex.org/W2389417819"],"abstract_inverted_index":{"The":[0,95,132],"original":[1,96],"vibration":[2,97],"signal":[3,98],"data":[4,17,22,32,59],"obtained":[5],"from":[6,33],"wind":[7,35,73,139,168,205],"turbines":[8,74],"are":[9,53],"often":[10,54],"difficult":[11],"to":[12,15,44,89,126,190],"analyze":[13],"due":[14],"inconspicuous":[16],"characteristics":[18],"such":[19],"as":[20],"varying":[21],"channel":[23],"numbers,":[24],"rare":[25],"valid":[26],"labels,":[27],"and":[28,79,92,105,142,151,160,187],"large":[29],"differences":[30],"in":[31,56,86,201],"different":[34],"turbine":[36,140],"types.":[37],"These":[38],"challenges":[39],"pose":[40],"a":[41,68,121,175,184],"significant":[42],"challenge":[43],"conventional":[45],"fault":[46,69,164,202],"diagnosis":[47,70,165,203],"methods.":[48],"Furthermore,":[49,181],"manual":[50,191],"preprocessing":[51,192],"methods":[52,166],"inadequate":[55],"providing":[57],"effective":[58,150,196],"for":[60,72,112,167,204],"machine":[61,199],"learning":[62,200],"purposes.":[63],"To":[64],"address":[65],"these":[66],"challenges,":[67],"method":[71,134],"that":[75,146],"combines":[76],"feature":[77,113],"reconstruction":[78],"gated":[80],"recurrent":[81],"unit":[82],"(GRU)":[83],"is":[84,99,110,124,135,148],"proposed":[85,133],"this":[87],"paper":[88],"improve":[90,157],"accuracy":[91,159],"generalization":[93,161],"performance.":[94],"reconstructed":[100],"using":[101,137],"principal":[102],"component":[103],"analysis":[104],"adaptive":[106],"resampling,":[107],"while":[108],"GRU":[109],"employed":[111],"extraction":[114],"with":[115,174],"bits":[116],"of":[117,163,178,198],"labeled":[118,179],"data.":[119,180],"Additionally,":[120],"genetic":[122],"algorithm":[123],"used":[125],"identify":[127],"the":[128,158],"optimal":[129],"slice":[130],"length.":[131],"tested":[136],"real":[138],"data,":[141],"experimental":[143],"results":[144],"show":[145],"it":[147,182],"highly":[149],"applicable.":[152],"This":[153],"approach":[154],"can":[155],"significantly":[156],"performance":[162],"turbines,":[169],"even":[170],"when":[171],"be":[172],"trained":[173],"small":[176],"number":[177],"provides":[183],"more":[185,195],"efficient":[186],"reliable":[188],"alternative":[189],"methods,":[193],"enabling":[194],"use":[197],"turbines.":[206]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}