{"id":"https://openalex.org/W2884099040","doi":"https://doi.org/10.1142/s0218001419510017","title":"Health Assessment Methods for Wind Turbines Based on Power Prediction and Mahalanobis Distance","display_name":"Health Assessment Methods for Wind Turbines Based on Power Prediction and Mahalanobis Distance","publication_year":2018,"publication_date":"2018-07-18","ids":{"openalex":"https://openalex.org/W2884099040","doi":"https://doi.org/10.1142/s0218001419510017","mag":"2884099040"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001419510017","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001419510017","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5070524789","display_name":"Jun Zhan","orcid":"https://orcid.org/0000-0002-8202-9346"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Zhan","raw_affiliation_strings":["Hunan Ulitech Automation System Co., Ltd., Chansha, P. R. China","New Tech Open Lab for Windpower, HuNan 410005, P. R. China","Hunan Ulitech Automation System Co., Ltd., Chansha, P. R. China; New Tech Open Lab for Windpower, HuNan 410005, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-8202-9346","affiliations":[{"raw_affiliation_string":"Hunan Ulitech Automation System Co., Ltd., Chansha, P. R. China","institution_ids":[]},{"raw_affiliation_string":"New Tech Open Lab for Windpower, HuNan 410005, P. R. China","institution_ids":[]},{"raw_affiliation_string":"Hunan Ulitech Automation System Co., Ltd., Chansha, P. R. China; New Tech Open Lab for Windpower, HuNan 410005, P. R. China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071624995","display_name":"Ronglin Wang","orcid":"https://orcid.org/0000-0002-4292-3845"},"institutions":[{"id":"https://openalex.org/I119273862","display_name":"Central South University of Forestry and Technology","ror":"https://ror.org/02czw2k81","country_code":"CN","type":"education","lineage":["https://openalex.org/I119273862"]},{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronglin Wang","raw_affiliation_strings":["Central South University of Forestry and Technology, HuNan 410004, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University of Forestry and Technology, HuNan 410004, P. R. China","institution_ids":["https://openalex.org/I119273862","https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015720249","display_name":"Lingzhi Yi","orcid":"https://orcid.org/0000-0002-3051-3822"},"institutions":[{"id":"https://openalex.org/I4610292","display_name":"Xiangtan University","ror":"https://ror.org/00xsfaz62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4610292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingzhi Yi","raw_affiliation_strings":["College of Information Engineering, Xiangtan University, Xiangtan 411105, Hunan, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Xiangtan University, Xiangtan 411105, Hunan, P. R. China","institution_ids":["https://openalex.org/I4610292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090005685","display_name":"Yaguo Wang","orcid":"https://orcid.org/0000-0002-0448-5645"},"institutions":[{"id":"https://openalex.org/I4510145","display_name":"Jiangxi University of Science and Technology","ror":"https://ror.org/03q0t9252","country_code":"CN","type":"education","lineage":["https://openalex.org/I4510145"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaguo Wang","raw_affiliation_strings":["Jiangxi University of Science and Technology, Ganzhou 341000, Jiangxi, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangxi University of Science and Technology, Ganzhou 341000, Jiangxi, P. R. China","institution_ids":["https://openalex.org/I4510145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057232373","display_name":"Zhengjuan Xie","orcid":"https://orcid.org/0000-0002-8906-7257"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhengjuan Xie","raw_affiliation_strings":["Changsha Technology Research Institute of Beidou Industry Safety, HuNan 410005, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changsha Technology Research Institute of Beidou Industry Safety, HuNan 410005, P. R. China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2625,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.80891836,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"33","issue":"02","first_page":"1951001","last_page":"1951001"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9969000220298767,"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/T12368","display_name":"Grey System Theory Applications","score":0.9678000211715698,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.8563985824584961},{"id":"https://openalex.org/keywords/mahalanobis-distance","display_name":"Mahalanobis distance","score":0.6899569630622864},{"id":"https://openalex.org/keywords/turbine","display_name":"Turbine","score":0.6787217855453491},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5314159989356995},{"id":"https://openalex.org/keywords/scada","display_name":"SCADA","score":0.5174515843391418},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.499805212020874},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.4403127431869507},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3335549533367157},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24590978026390076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23738285899162292},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19914719462394714},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08023753762245178}],"concepts":[{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.8563985824584961},{"id":"https://openalex.org/C1921717","wikidata":"https://www.wikidata.org/wiki/Q1334846","display_name":"Mahalanobis distance","level":2,"score":0.6899569630622864},{"id":"https://openalex.org/C2778449969","wikidata":"https://www.wikidata.org/wiki/Q130760","display_name":"Turbine","level":2,"score":0.6787217855453491},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5314159989356995},{"id":"https://openalex.org/C113863187","wikidata":"https://www.wikidata.org/wiki/Q17498","display_name":"SCADA","level":2,"score":0.5174515843391418},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.499805212020874},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.4403127431869507},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3335549533367157},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24590978026390076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23738285899162292},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19914719462394714},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08023753762245178},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001419510017","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001419510017","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8999999761581421}],"awards":[{"id":"https://openalex.org/G3499976817","display_name":null,"funder_award_id":"NO.61572416","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"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":9,"referenced_works":["https://openalex.org/W2037411704","https://openalex.org/W2055282003","https://openalex.org/W2075672667","https://openalex.org/W2095369024","https://openalex.org/W2120674393","https://openalex.org/W2513903541","https://openalex.org/W2591934927","https://openalex.org/W2598141788","https://openalex.org/W2726225399"],"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/W2460685830","https://openalex.org/W2738547440","https://openalex.org/W2742210008","https://openalex.org/W2925195937","https://openalex.org/W2291341232"],"abstract_inverted_index":{"The":[0,180,260],"output":[1],"power":[2,80,110,120,128],"of":[3,27,70,90,114,135,159,169,202,218,250,277,287],"wind":[4,19,28,44,73,103,109,115,136,164,203,219,248,278,288],"turbine":[5],"has":[6,253],"great":[7],"relation":[8,107],"with":[9],"its":[10],"health":[11,15,37,57,68,133,160,198,273],"state,":[12],"and":[13,24,65,82,111,145,189,193,222,236,280],"the":[14,32,36,40,67,71,79,88,93,106,118,127,132,139,142,149,157,167,171,185,197,214,228,231,272],"status":[16,38,58,69,134,161,199,274],"assessment":[17,59,162,200,270],"for":[18,39,96,163,271,284],"turbines":[20,220,279],"influences":[21],"operational":[22],"maintenance":[23],"economic":[25],"benefit":[26],"farm.":[29],"Aiming":[30],"at":[31],"current":[33],"problem":[34],"that":[35,230,263],"whole":[41,72],"machine":[42],"in":[43,51,61,102,246],"farm":[45,104,249],"is":[46,76,123,154,175,182],"hard":[47],"to":[48,63,125,256],"get":[49],"accurately,":[50],"this":[52,258,264],"paper,":[53],"we":[54],"propose":[55],"a":[56],"method":[60,206,266],"order":[62],"assess":[64],"predict":[66],"turbine,":[74],"which":[75,153,211],"based":[77],"on":[78,87],"prediction":[81,121],"Mahalanobis":[83],"distance":[84],"(MD).":[85],"Firstly,":[86],"basis":[89],"Bates":[91],"theory,":[92],"scientific":[94],"analysis":[95],"historical":[97],"data":[98,245],"from":[99],"SCADA":[100,243],"system":[101,244],"explains":[105],"between":[108,141],"running":[112],"states":[113],"turbines.":[116,137,165,204,289],"Secondly,":[117],"active":[119],"model":[122],"utilized":[124],"obtain":[126],"forecasting":[129,143],"value":[130,144,147,201],"under":[131],"And":[138],"difference":[140],"actual":[146],"constructs":[148,208],"standard":[150],"residual":[151,174,187,191],"set":[152,173,188,192],"seen":[155],"as":[156,196],"benchmark":[158],"In":[166],"process":[168],"assessment,":[170],"test":[172,186],"gained":[176],"by":[177,184,239],"network":[178],"model.":[179],"MD":[181],"calculated":[183],"normal":[190],"then":[194],"normalized":[195],"This":[205],"innovatively":[207],"evaluation":[209],"index":[210],"can":[212,267],"reflect":[213],"electricity":[215],"generating":[216],"performance":[217],"rapidly":[221],"precisely.":[223],"So":[224],"it":[225],"effectively":[226],"avoids":[227],"defect":[229],"existing":[232],"methods":[233],"are":[234],"generally":[235],"easily":[237],"influenced":[238],"subjective":[240],"consciousness.":[241],"Finally,":[242],"one":[247],"Fujian":[251],"province":[252],"been":[254],"used":[255],"verify":[257],"method.":[259],"results":[261],"indicate":[262],"new":[265,282],"make":[268],"effective":[269],"variation":[275],"trend":[276],"provide":[281],"means":[283],"fault":[285],"warning":[286]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}