{"id":"https://openalex.org/W3023354860","doi":"https://doi.org/10.1109/access.2020.2992089","title":"Reliability Assessment of Wind Power Converter Considering SCADA Multistate Parameters Prediction Using FP-Growth, WPT, K-Means and LSTM Network","display_name":"Reliability Assessment of Wind Power Converter Considering SCADA Multistate Parameters Prediction Using FP-Growth, WPT, K-Means and LSTM Network","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3023354860","doi":"https://doi.org/10.1109/access.2020.2992089","mag":"3023354860"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2992089","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2992089","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09085359.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/ielx7/6287639/8948470/09085359.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100688792","display_name":"Jingxuan Zhang","orcid":"https://orcid.org/0000-0002-8105-1023"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingxuan Zhang","raw_affiliation_strings":["School of Artificial Intelligence, Hebei University of Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-8105-1023","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050932904","display_name":"Hexu Sun","orcid":"https://orcid.org/0000-0002-2499-7867"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]},{"id":"https://openalex.org/I34155123","display_name":"Hebei University of Science and Technology","ror":"https://ror.org/05h3pkk68","country_code":"CN","type":"education","lineage":["https://openalex.org/I34155123"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hexu Sun","raw_affiliation_strings":["School of Artificial Intelligence, Hebei University of Technology, Tianjin, China","School of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang, China"],"raw_orcid":"https://orcid.org/0000-0002-2499-7867","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]},{"raw_affiliation_string":"School of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang, China","institution_ids":["https://openalex.org/I34155123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009742314","display_name":"Zexian Sun","orcid":"https://orcid.org/0000-0001-6501-7709"},"institutions":[{"id":"https://openalex.org/I137506752","display_name":"North China University of Science and Technology","ror":"https://ror.org/04z4wmb81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137506752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zexian Sun","raw_affiliation_strings":["College of Electrical Engineering, North China University of Science and Technology, Tangshan, China"],"raw_orcid":"https://orcid.org/0000-0001-6501-7709","affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, North China University of Science and Technology, Tangshan, China","institution_ids":["https://openalex.org/I137506752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006511426","display_name":"Weichao Dong","orcid":"https://orcid.org/0000-0002-9771-3001"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]},{"id":"https://openalex.org/I34155123","display_name":"Hebei University of Science and Technology","ror":"https://ror.org/05h3pkk68","country_code":"CN","type":"education","lineage":["https://openalex.org/I34155123"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weichao Dong","raw_affiliation_strings":["School of Artificial Intelligence, Hebei University of Technology, Tianjin, China","School of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang, China"],"raw_orcid":"https://orcid.org/0000-0002-9771-3001","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]},{"raw_affiliation_string":"School of Electrical Engineering, Hebei University of Science and Technology, Shijiazhuang, China","institution_ids":["https://openalex.org/I34155123"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036285889","display_name":"Yan Dong","orcid":"https://orcid.org/0000-0002-7751-2800"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Dong","raw_affiliation_strings":["School of Artificial Intelligence, Hebei University of Technology, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-7751-2800","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Hebei University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004202346","display_name":"Siyuan Gong","orcid":"https://orcid.org/0000-0001-9675-869X"},"institutions":[{"id":"https://openalex.org/I4210101931","display_name":"HBIS (China)","ror":"https://ror.org/00zjpfj13","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210101931"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyuan Gong","raw_affiliation_strings":["Hebei Construction and Investment Group Company, Ltd., Shijiazhuang, China"],"raw_orcid":"https://orcid.org/0000-0001-9675-869X","affiliations":[{"raw_affiliation_string":"Hebei Construction and Investment Group Company, Ltd., Shijiazhuang, China","institution_ids":["https://openalex.org/I4210101931"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100688792"],"corresponding_institution_ids":["https://openalex.org/I184843921"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.339,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.80185738,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"84455","last_page":"84466"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9955999851226807,"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":0.9955999851226807,"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/T10228","display_name":"Multilevel Inverters and Converters","score":0.9937000274658203,"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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9927999973297119,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scada","display_name":"SCADA","score":0.8312469720840454},{"id":"https://openalex.org/keywords/turbine","display_name":"Turbine","score":0.6463516354560852},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.5793620347976685},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5752140283584595},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5176811218261719},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4469640254974365},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.44653430581092834},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4453172981739044},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4270709455013275},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.27269473671913147},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19739189743995667},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.19516459107398987},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.0871705412864685},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.08525130152702332}],"concepts":[{"id":"https://openalex.org/C113863187","wikidata":"https://www.wikidata.org/wiki/Q17498","display_name":"SCADA","level":2,"score":0.8312469720840454},{"id":"https://openalex.org/C2778449969","wikidata":"https://www.wikidata.org/wiki/Q130760","display_name":"Turbine","level":2,"score":0.6463516354560852},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.5793620347976685},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5752140283584595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5176811218261719},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4469640254974365},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.44653430581092834},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4453172981739044},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4270709455013275},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.27269473671913147},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19739189743995667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.19516459107398987},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0871705412864685},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.08525130152702332},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2992089","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2992089","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09085359.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:32936f3583ae4157a422de1d3b1a4ae5","is_oa":true,"landing_page_url":"https://doaj.org/article/32936f3583ae4157a422de1d3b1a4ae5","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 8, Pp 84455-84466 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2992089","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2992089","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09085359.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":[{"score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3023354860.pdf","grobid_xml":"https://content.openalex.org/works/W3023354860.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1598168251","https://openalex.org/W1991393804","https://openalex.org/W2059294918","https://openalex.org/W2064853889","https://openalex.org/W2107693148","https://openalex.org/W2159767840","https://openalex.org/W2516793401","https://openalex.org/W2528822214","https://openalex.org/W2559456120","https://openalex.org/W2568135820","https://openalex.org/W2789111672","https://openalex.org/W2795768915","https://openalex.org/W2796493806","https://openalex.org/W2887830166","https://openalex.org/W2902248621","https://openalex.org/W2942933136","https://openalex.org/W2945308472","https://openalex.org/W2974313728","https://openalex.org/W2997527504","https://openalex.org/W3123597110","https://openalex.org/W4254816979"],"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":{"In":[0,79,161],"order":[1],"to":[2,91,99,128,148,190,211],"cooperate":[3],"the":[4,10,62,80,85,93,100,134,150,162,169,191,199,205,215,233,242,254],"wind":[5,14,41,56,103,146,236,260],"farm":[6],"operators":[7],"with":[8,108],"grasping":[9],"operation":[11,53,144],"status":[12],"of":[13,35,55,67,75,96,102,139,145,153,164,176,201,224,227,235,247],"power":[15,57,104,237,261],"converter,":[16],"a":[17,258],"novel":[18],"reliability":[19,54,234],"assessment":[20,249],"strategy":[21,44,250],"is":[22,59,89,188,196,209,222,239,251],"proposed":[23,243,248],"based":[24,213],"on":[25,214,257],"supervisory":[26],"control":[27],"and":[28,50,64,72,123,132,167,181],"data":[29],"acquisition":[30],"(SCADA)":[31],"multistate":[32,77,116,140,177],"parameters":[33,141,178],"prediction":[34,70,159,220,225],"permanent":[36],"magnet":[37],"synchronous":[38],"generator":[39],"(PMSG)":[40],"turbine.":[42],"The":[43,52,106,218,245],"considers":[45],"\u201coff-line":[46,81,202],"training,":[47],"on-line":[48],"matching":[49,166],"assessment\u201d.":[51],"converter":[58,238],"obtained":[60],"via":[61],"analysis":[63],"weight":[65],"computing":[66],"confidence":[68,94,110],"level,":[69],"value":[71,74,171,221],"actual":[73,170],"SCADA":[76,97,115],"parameters.":[78,117],"training\u201d":[82],"part,":[83],"first,":[84],"FP-Growth":[86],"association":[87],"algorithm":[88,125],"employed":[90,127],"analyze":[92],"levels":[95],"variables":[98,107],"faults":[101],"converter.":[105,262],"high":[109],"level":[111],"are":[112,126,179],"defined":[113],"as":[114],"Afterwards,":[118],"wavelet":[119],"packet":[120],"transform":[121],"(WPT)":[122],"K-means":[124],"decompose,":[129],"reconstruct,":[130],"normalize":[131],"cluster":[133,193],"time":[135,172],"series":[136,173],"(off-line":[137],"data)":[138,175],"under":[142],"normal":[143],"turbine,":[147],"improve":[149],"generalization":[151],"capability":[152],"long":[154],"short":[155],"term":[156],"memory":[157],"(LSTM)":[158],"model.":[160],"part":[163,200],"\u201con-line":[165],"assessment\u201d,":[168],"(on-line":[174],"decomposed":[180],"reconstructed":[182],"by":[183,241,253],"WPT.":[184],"Each":[185],"normalized":[186],"sample":[187],"matched":[189],"closest":[192],"centroid,":[194],"which":[195],"generated":[197],"in":[198,230],"training\u201d.":[203],"Then":[204],"corresponding":[206],"LSTM":[207],"model":[208],"conducted":[210],"predict":[212],"each":[216],"sample.":[217],"final":[219],"sum":[223],"results":[226,256],"entire":[228],"samples":[229],"clusters.":[231],"Finally,":[232],"assessed":[240],"strategy.":[244],"effectiveness":[246],"verified":[252],"experimental":[255],"PMSG":[259]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}