{"id":"https://openalex.org/W4206087111","doi":"https://doi.org/10.1109/tim.2021.3139698","title":"A Novel Wind Speed-Sensing Methodology for Wind Turbines Based on Digital Twin Technology","display_name":"A Novel Wind Speed-Sensing Methodology for Wind Turbines Based on Digital Twin Technology","publication_year":2021,"publication_date":"2021-12-31","ids":{"openalex":"https://openalex.org/W4206087111","doi":"https://doi.org/10.1109/tim.2021.3139698"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2021.3139698","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3139698","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","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/A5057524822","display_name":"Yang Li","orcid":"https://orcid.org/0000-0001-9320-6144"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Li","raw_affiliation_strings":["Department of Electrical Engineering, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9320-6144","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008910536","display_name":"Xiaojun Shen","orcid":"https://orcid.org/0000-0002-5971-1259"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojun Shen","raw_affiliation_strings":["Department of Electrical Engineering, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-5971-1259","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5057524822"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":5.5504,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.96473216,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"71","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9980999827384949,"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":0.9980999827384949,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9854000210762024,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9829000234603882,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7723048329353333},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.6895242929458618},{"id":"https://openalex.org/keywords/turbine","display_name":"Turbine","score":0.6110141277313232},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.595859169960022},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5499680042266846},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5017943382263184},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.5009191036224365},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3949238061904907},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.39070194959640503},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.37863433361053467},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10475412011146545},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08394050598144531}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7723048329353333},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.6895242929458618},{"id":"https://openalex.org/C2778449969","wikidata":"https://www.wikidata.org/wiki/Q130760","display_name":"Turbine","level":2,"score":0.6110141277313232},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.595859169960022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5499680042266846},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5017943382263184},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.5009191036224365},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3949238061904907},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.39070194959640503},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.37863433361053467},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10475412011146545},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08394050598144531},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2021.3139698","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3139698","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8899999856948853,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G4482916627","display_name":null,"funder_award_id":"2018YFB1503100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1964522863","https://openalex.org/W2020727748","https://openalex.org/W2048964182","https://openalex.org/W2062598192","https://openalex.org/W2066481368","https://openalex.org/W2102832680","https://openalex.org/W2120674393","https://openalex.org/W2126790865","https://openalex.org/W2147540239","https://openalex.org/W2293935233","https://openalex.org/W2317535379","https://openalex.org/W2565025742","https://openalex.org/W2615058343","https://openalex.org/W2767507316","https://openalex.org/W2774637283","https://openalex.org/W2796090602","https://openalex.org/W2808628700","https://openalex.org/W2911702988","https://openalex.org/W2913872388","https://openalex.org/W2966105623","https://openalex.org/W2978485298","https://openalex.org/W3032084226","https://openalex.org/W3034363736","https://openalex.org/W3092008631","https://openalex.org/W3119853956","https://openalex.org/W3152787001","https://openalex.org/W3177398207","https://openalex.org/W3188675891","https://openalex.org/W3210216139"],"related_works":["https://openalex.org/W4380482219","https://openalex.org/W3214712242","https://openalex.org/W4377969695","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"],"abstract_inverted_index":{"Wind":[0],"speed":[1,119,223],"sensors":[2,78,114,127,265],"of":[3,30,36,43,49,94,115,179,206,234,249,264],"wind":[4,37,118,222],"turbines":[5,180],"are":[6,121,146,156,167,188],"prone":[7],"to":[8,18,64,112,123,148,169,190,202],"suffer":[9],"from":[10],"performance":[11],"degeneration":[12],"or":[13,22],"even":[14],"drastic":[15],"failures":[16],"due":[17],"their":[19],"inherent":[20],"issues":[21],"environmental":[23],"influence,":[24],"which":[25,242],"directly":[26],"affect":[27],"the":[28,33,41,46,66,76,125,130,144,151,165,171,176,183,192,197,203,235,245,251,262],"quality":[29],"measurements":[31,50],"and":[32,45,79,98,100,107,128,174,209,220,232,240,260],"safe":[34,177],"operation":[35,178],"turbines.":[38],"To":[39],"overcome":[40],"limitations":[42],"inaccuracy":[44],"partial":[47],"missing":[48],"by":[51,133,154,158],"physical":[52,67,117,256],"sensors,":[53,120],"this":[54],"work":[55],"presents":[56],"a":[57,92,135,212],"digital":[58],"twin-driven":[59],"sensing":[60,257],"methodology":[61],"that":[62,244],"enables":[63],"augment":[65],"sensor":[68,72,253],"platform":[69,258],"into":[70],"virtual":[71,113,252],"arrays,":[73],"thus,":[74],"identifying":[75],"faulty":[77],"accommodating":[80],"them":[81],"with":[82],"appropriate":[83],"estimated":[84,172,184],"data.":[85],"The":[86,109,186,227],"proposed":[87,236],"method":[88,237],"is":[89,225,238,247],"built":[90,147,168],"upon":[91],"series":[93],"estimators,":[95,110],"verifiers,":[96],"setters,":[97],"selectors":[99,187],"focuses":[101],"on":[102,139,182,216],"fault":[103,126],"identification,":[104],"data":[105,194],"verification,":[106],"reconstruction.":[108],"corresponding":[111],"all":[116],"developed":[122],"detect":[124],"reconstruct":[129],"normal":[131],"behaviors":[132],"using":[134],"spatiotemporal":[136,160],"network":[137],"based":[138,181],"multiturbine":[140],"correlations":[141],"model.":[142],"Then,":[143],"verifiers":[145],"check":[149],"whether":[150],"detection":[152],"results":[153,205],"estimators":[155,208],"accurate":[157],"establishing":[159],"correlation":[161],"constraints.":[162],"In":[163],"addition,":[164],"setters":[166],"adjust":[170],"values":[173],"improve":[175],"values.":[185],"used":[189],"confirm":[191],"input":[193],"source":[195],"for":[196,255],"turbine":[198],"control":[199],"system":[200],"according":[201],"identification":[204],"both":[207],"verifiers.":[210],"Finally,":[211],"comprehensive":[213],"statistical":[214],"analysis":[215],"five":[217],"baseline":[218],"models":[219],"three":[221],"datasets":[224],"conducted.":[226],"root":[228],"mean":[229],"square":[230],"error":[231],"uncertainty":[233],"0.45":[239],"\u00b10.009,":[241],"demonstrate":[243],"DTSense":[246],"capable":[248],"conducting":[250],"arrays":[254],"effectively":[259],"improving":[261],"reliability":[263],"in":[266],"engineering":[267],"applications.":[268]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}