{"id":"https://openalex.org/W2989742866","doi":"https://doi.org/10.1109/isgteurope.2019.8905495","title":"Wind Turbine Health Assessment Framework Based on Power Analysis Using Machine Learning Method","display_name":"Wind Turbine Health Assessment Framework Based on Power Analysis Using Machine Learning Method","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2989742866","doi":"https://doi.org/10.1109/isgteurope.2019.8905495","mag":"2989742866"},"language":"en","primary_location":{"id":"doi:10.1109/isgteurope.2019.8905495","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isgteurope.2019.8905495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","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/A5074487871","display_name":"Qiuyi Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Qiuyi Huang","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology,Stockholm,Sweden","School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology,Stockholm,Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103052741","display_name":"Yue Cui","orcid":"https://orcid.org/0000-0002-6428-2241"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Yue Cui","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology,Stockholm,Sweden","School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology,Stockholm,Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063119651","display_name":"Lina Bertling Tjernberg","orcid":"https://orcid.org/0000-0003-4763-9429"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Lina Bertling Tjernberg","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology,Stockholm,Sweden","School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology,Stockholm,Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112942012","display_name":"Pramod Bangalore","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099885","display_name":"Greenely (Sweden)","ror":"https://ror.org/012rxy285","country_code":"SE","type":"company","lineage":["https://openalex.org/I4210099885"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Pramod Bangalore","raw_affiliation_strings":["Greenbyte AB,Gothenburg,Sweden","Greenbyte AB, Gothenburg, Sweden"],"affiliations":[{"raw_affiliation_string":"Greenbyte AB,Gothenburg,Sweden","institution_ids":["https://openalex.org/I4210099885"]},{"raw_affiliation_string":"Greenbyte AB, Gothenburg, Sweden","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5074487871"],"corresponding_institution_ids":["https://openalex.org/I86987016"],"apc_list":null,"apc_paid":null,"fwci":1.1642,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.79685309,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"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":0.9988999962806702,"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":0.9988999962806702,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9980000257492065,"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/T11941","display_name":"Power System Reliability and Maintenance","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.8358628749847412},{"id":"https://openalex.org/keywords/turbine","display_name":"Turbine","score":0.6815661787986755},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.6130302548408508},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.60515958070755},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.48174500465393066},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.44662150740623474},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.424014151096344},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33276551961898804},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.30833685398101807},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.30605876445770264},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12504440546035767},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.10673218965530396},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08800619840621948}],"concepts":[{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.8358628749847412},{"id":"https://openalex.org/C2778449969","wikidata":"https://www.wikidata.org/wiki/Q130760","display_name":"Turbine","level":2,"score":0.6815661787986755},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.6130302548408508},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.60515958070755},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.48174500465393066},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.44662150740623474},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.424014151096344},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33276551961898804},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.30833685398101807},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.30605876445770264},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12504440546035767},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.10673218965530396},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08800619840621948},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isgteurope.2019.8905495","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isgteurope.2019.8905495","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)","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":0.8999999761581421}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1673310716","https://openalex.org/W2016334901","https://openalex.org/W2044963328","https://openalex.org/W2113238782","https://openalex.org/W2172134521","https://openalex.org/W2270330859","https://openalex.org/W2481914548","https://openalex.org/W2886580136","https://openalex.org/W2888780807","https://openalex.org/W2897250207","https://openalex.org/W6637131181","https://openalex.org/W6654609482"],"related_works":["https://openalex.org/W4380482219","https://openalex.org/W3214712242","https://openalex.org/W4377969695","https://openalex.org/W3204461065","https://openalex.org/W3014558862","https://openalex.org/W1965417009","https://openalex.org/W2018320994","https://openalex.org/W2085232331","https://openalex.org/W2460685830","https://openalex.org/W2738547440"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,20,97,164],"performance":[4,63,131,140,183],"assessment":[5,24],"framework":[6,34,49,174],"to":[7,18,25,75,87,100,115,144],"estimate":[8,88],"operation":[9,178],"status":[10],"of":[11,51,132,158,184],"wind":[12,31,133,161,166,185],"turbines.":[13,32,134,186],"The":[14,33,48,148,168],"overall":[15],"objective":[16],"is":[17,94,113],"propose":[19],"method":[21,60,112],"for":[22,30],"health":[23,146],"support":[26],"preventive":[27],"maintenance":[28],"strategies":[29],"uses":[35],"the":[36,39,66,89,102,106,109,117,128,136,155,172,177,182],"data":[37,43,122,157],"in":[38],"supervisory":[40],"control":[41],"and":[42,62,70,82,123,180],"acquisition":[44],"systems":[45],"as":[46,96],"input.":[47],"consists":[50],"three":[52],"main":[53],"stages:":[54],"power":[55,91,121],"curve":[56],"prediction,":[57],"sliding":[58,110],"window":[59,111],"analysis":[61],"assessment.":[64],"At":[65,105,135],"first":[67],"stage,":[68,108,138],"k-means":[69],"density-based":[71],"clustering":[72],"are":[73,85,142],"applied":[74,86,153],"eliminate":[76],"noisy":[77],"measurements.":[78],"Then":[79],"both":[80],"parametric":[81],"non-parametric":[83],"methods":[84],"ideal":[90,124],"curve,":[92],"which":[93,126],"used":[95,114],"reference":[98],"value":[99],"assess":[101,145],"actual":[103,120],"one.":[104],"second":[107],"calculate":[116],"deviation":[118],"between":[119],"values,":[125],"indicates":[127],"real":[129],"time":[130],"third":[137],"different":[139],"zones":[141],"defined":[143],"conditions.":[147],"proposed":[149],"approach":[150],"has":[151],"been":[152],"with":[154],"experience":[156],"six":[159],"onshore":[160],"turbines":[162],"from":[163],"single":[165],"farm.":[167],"results":[169],"indicate":[170],"that":[171],"introduced":[173],"can":[175],"monitor":[176],"conditions":[179],"evaluate":[181]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
