{"id":"https://openalex.org/W3155460062","doi":"https://doi.org/10.1016/j.asoc.2021.107400","title":"Hybrid AI system based on ART neural network and Mixture of Gaussians modules with application to intelligent monitoring of the wind turbine","display_name":"Hybrid AI system based on ART neural network and Mixture of Gaussians modules with application to intelligent monitoring of the wind turbine","publication_year":2021,"publication_date":"2021-04-19","ids":{"openalex":"https://openalex.org/W3155460062","doi":"https://doi.org/10.1016/j.asoc.2021.107400","mag":"3155460062"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.asoc.2021.107400","pdf_url":null,"source":{"id":"https://openalex.org/S140556538","display_name":"Applied Soft Computing","issn_l":"1568-4946","issn":["1568-4946","1872-9681"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.asoc.2021.107400","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025634939","display_name":"Andrzej Bielecki","orcid":"https://orcid.org/0000-0002-0192-3785"},"institutions":[{"id":"https://openalex.org/I686019","display_name":"AGH University of Krakow","ror":"https://ror.org/00bas1c41","country_code":"PL","type":"education","lineage":["https://openalex.org/I686019"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Andrzej Bielecki","raw_affiliation_strings":["AGH University of Science and Technology, Faculty of Electrical Engineering, Automation, Computer Science and Biomedical Engineering, Chair of Applied Computer Science, Mickiewicza Ave. 30, 30-059 Cracow, Poland"],"affiliations":[{"raw_affiliation_string":"AGH University of Science and Technology, Faculty of Electrical Engineering, Automation, Computer Science and Biomedical Engineering, Chair of Applied Computer Science, Mickiewicza Ave. 30, 30-059 Cracow, Poland","institution_ids":["https://openalex.org/I686019"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018895663","display_name":"Mateusz W\u00f3jcik","orcid":"https://orcid.org/0000-0002-9877-6995"},"institutions":[{"id":"https://openalex.org/I3132238960","display_name":"Institute of Electrical and Electronics Engineers","ror":"https://ror.org/01n002310","country_code":"US","type":"education","lineage":["https://openalex.org/I3132238960"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mateusz W\u00f3jcik","raw_affiliation_strings":["IEEE Member"],"affiliations":[{"raw_affiliation_string":"IEEE Member","institution_ids":["https://openalex.org/I3132238960"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025634939"],"corresponding_institution_ids":["https://openalex.org/I686019"],"apc_list":{"value":3350,"currency":"USD","value_usd":3350,"provenance":"doaj"},"apc_paid":{"value":3350,"currency":"USD","value_usd":3350,"provenance":"doaj"},"fwci":0.869,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.999945,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":83,"max":84},"biblio":{"volume":"108","issue":null,"first_page":"107400","last_page":"107400"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9971,"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":0.9971,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9852,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9568,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/condition-monitoring","display_name":"Condition Monitoring","score":0.59223324}],"concepts":[{"id":"https://openalex.org/C2778449969","wikidata":"https://www.wikidata.org/wiki/Q130760","display_name":"Turbine","level":2,"score":0.7724011},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.6995395},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6833196},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.66294223},{"id":"https://openalex.org/C2775846686","wikidata":"https://www.wikidata.org/wiki/Q643012","display_name":"Condition monitoring","level":2,"score":0.59223324},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5757646},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.49909687},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.4245075},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3611381},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3515004},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34759614},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20684353},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.asoc.2021.107400","pdf_url":null,"source":{"id":"https://openalex.org/S140556538","display_name":"Applied Soft Computing","issn_l":"1568-4946","issn":["1568-4946","1872-9681"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.asoc.2021.107400","pdf_url":null,"source":{"id":"https://openalex.org/S140556538","display_name":"Applied Soft Computing","issn_l":"1568-4946","issn":["1568-4946","1872-9681"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.91}],"grants":[{"funder":"https://openalex.org/F4320335039","funder_display_name":"Narodowe Centrum Bada\u0144 i Rozwoju","award_id":null}],"datasets":[],"versions":[],"referenced_works_count":42,"referenced_works":["https://openalex.org/W1410588099","https://openalex.org/W1521113878","https://openalex.org/W1527152867","https://openalex.org/W1593884093","https://openalex.org/W1769140016","https://openalex.org/W1800162127","https://openalex.org/W187043655","https://openalex.org/W1976836975","https://openalex.org/W1995443851","https://openalex.org/W2042641006","https://openalex.org/W2078711623","https://openalex.org/W2080968362","https://openalex.org/W2083136723","https://openalex.org/W2086744501","https://openalex.org/W2086913204","https://openalex.org/W2091095153","https://openalex.org/W2095779018","https://openalex.org/W2120986499","https://openalex.org/W2127064699","https://openalex.org/W2131065845","https://openalex.org/W2152477898","https://openalex.org/W2291842222","https://openalex.org/W2336788611","https://openalex.org/W2338990760","https://openalex.org/W2501844876","https://openalex.org/W2594639291","https://openalex.org/W2606834215","https://openalex.org/W2745040311","https://openalex.org/W2771581187","https://openalex.org/W2806140712","https://openalex.org/W2897250207","https://openalex.org/W2898793789","https://openalex.org/W2904923238","https://openalex.org/W2907213040","https://openalex.org/W2963445059","https://openalex.org/W2983199727","https://openalex.org/W2997417149","https://openalex.org/W3002064451","https://openalex.org/W3016210511","https://openalex.org/W3017143921","https://openalex.org/W3128465814","https://openalex.org/W4250621041"],"related_works":["https://openalex.org/W3214712242","https://openalex.org/W3204461065","https://openalex.org/W3033558281","https://openalex.org/W2799162308","https://openalex.org/W2741863531","https://openalex.org/W2738547440","https://openalex.org/W2460685830","https://openalex.org/W2085232331","https://openalex.org/W2018320994","https://openalex.org/W1965417009"],"abstract_inverted_index":{"Lack":[0],"of":[1,6,25,48,63,91,100,105,133,150,182],"effective":[2],"intelligent":[3,38,61],"monitoring":[4,24,62],"systems":[5,19,50],"big":[7],"wind":[8,64,106,197],"turbines":[9,65],"is":[10,51,66,70,74,96,154,172],"a":[11,42,151,166,169,196],"crucial":[12],"problem":[13],"in":[14,174],"their":[15],"exploitation.":[16],"The":[17,46,68,93,108,161,186],"used":[18],"are":[20,118,139],"based":[21,75,88],"on":[22,34,76,89],"direct":[23],"the":[26,35,55,119,123,130,134,148,158,175,180,183],"system":[27,59,69,95,120,124,187],"parameters":[28],"by":[29,157,191],"using":[30,192],"programmable":[31],"electronics":[32],"or":[33,168],"simple":[36],"artificial":[37],"systems,":[39],"such":[40,49],"as":[41,142,144],"single":[43],"neural":[44,79],"network.":[45],"efficiency":[47],"very":[52],"limited.":[53],"In":[54],"paper":[56],"an":[57],"innovative":[58],"for":[60],"proposed.":[67],"fully":[71],"automated.":[72],"It":[73],"Adaptive":[77],"Resonance":[78],"network":[80],"(ART":[81],"network)":[82],"combined":[83],"with":[84],"two":[85],"distinct":[86],"modules":[87],"Mixture":[90],"Gaussians.":[92],"proposed":[94],"applied":[97],"to":[98,129],"detection":[99],"fault":[101],"and":[102,113],"pre-fault":[103],"states":[104,132,138],"turbines.":[107],"turbine":[109,198],"operational":[110],"state":[111,171],"data":[112,114,194],"from":[115,195],"vibration":[116],"channels":[117],"input.":[121],"First,":[122],"specifies":[125],"clusters":[126],"that":[127,164],"correspond":[128],"healthy":[131],"turbine.":[135],"Then,":[136],"failure":[137,167],"detected":[140],"on-line":[141],"soon":[143],"they":[145],"occur":[146],"because":[147],"creation":[149],"new":[152,162],"cluster":[153],"signalized":[155],"immediately":[156],"ART":[159],"module.":[160],"cluster,":[163],"represents":[165],"pre-failure":[170],"encoded":[173],"Gaussian":[176],"module":[177],"which":[178],"plays":[179],"role":[181],"long-term":[184],"memory.":[185],"effectiveness":[188],"was":[189],"verified":[190],"real":[193],"farm.":[199]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3155460062","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2025-01-02T22:27:15.227121","created_date":"2021-04-26"}