{"id":"https://openalex.org/W4407953212","doi":"https://doi.org/10.1145/3701551.3707419","title":"Bearing Power Loss Predictions in Wind Turbine Gearbox: An Approach Based on LLMs","display_name":"Bearing Power Loss Predictions in Wind Turbine Gearbox: An Approach Based on LLMs","publication_year":2025,"publication_date":"2025-02-26","ids":{"openalex":"https://openalex.org/W4407953212","doi":"https://doi.org/10.1145/3701551.3707419"},"language":"en","primary_location":{"id":"doi:10.1145/3701551.3707419","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3701551.3707419","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining","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/A5116425470","display_name":"Janice Anta Zebaze","orcid":"https://orcid.org/0009-0003-1033-2519"},"institutions":[{"id":"https://openalex.org/I1331070479","display_name":"Universit\u00e9 de Yaound\u00e9 I","ror":"https://ror.org/022zbs961","country_code":"CM","type":"education","lineage":["https://openalex.org/I1331070479"]}],"countries":["CM"],"is_corresponding":false,"raw_author_name":"Janice Anta Zebaze","raw_affiliation_strings":["Department of Physics, University of Yaounde 1, Yaounde, Cameroon"],"raw_orcid":"https://orcid.org/0009-0003-1033-2519","affiliations":[{"raw_affiliation_string":"Department of Physics, University of Yaounde 1, Yaounde, Cameroon","institution_ids":["https://openalex.org/I1331070479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084037708","display_name":"Azanzi Jiomekong","orcid":"https://orcid.org/0000-0002-8005-2067"},"institutions":[{"id":"https://openalex.org/I1331070479","display_name":"Universit\u00e9 de Yaound\u00e9 I","ror":"https://ror.org/022zbs961","country_code":"CM","type":"education","lineage":["https://openalex.org/I1331070479"]},{"id":"https://openalex.org/I2802635041","display_name":"Technische Informationsbibliothek (TIB)","ror":"https://ror.org/04aj4c181","country_code":"DE","type":"archive","lineage":["https://openalex.org/I2802635041","https://openalex.org/I315704651"]}],"countries":["CM","DE"],"is_corresponding":false,"raw_author_name":"Azanzi Jiomekong","raw_affiliation_strings":["Department of Computer Science, University of Yaounde I, Yaounde, Cameroon, &amp; TIB - Leibniz Information Centre for Science and Technology, Hannover, Germany"],"raw_orcid":"https://orcid.org/0000-0002-8005-2067","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Yaounde I, Yaounde, Cameroon, &amp; TIB - Leibniz Information Centre for Science and Technology, Hannover, Germany","institution_ids":["https://openalex.org/I2802635041","https://openalex.org/I1331070479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030636470","display_name":"Innocent Souopgui","orcid":"https://orcid.org/0000-0002-7049-4611"},"institutions":[{"id":"https://openalex.org/I4210161191","display_name":"Performance Polymer Solutions (United States)","ror":"https://ror.org/00ar79186","country_code":"US","type":"company","lineage":["https://openalex.org/I4210161191"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Innocent Souopgui","raw_affiliation_strings":["RedLine Performance Solutions, LLC, USA"],"raw_orcid":"https://orcid.org/0000-0002-7049-4611","affiliations":[{"raw_affiliation_string":"RedLine Performance Solutions, LLC, USA","institution_ids":["https://openalex.org/I4210161191"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009247583","display_name":"G. Djuidj\u00e9 Kenmo\u00e9","orcid":"https://orcid.org/0000-0002-7303-2340"},"institutions":[{"id":"https://openalex.org/I1331070479","display_name":"Universit\u00e9 de Yaound\u00e9 I","ror":"https://ror.org/022zbs961","country_code":"CM","type":"education","lineage":["https://openalex.org/I1331070479"]}],"countries":["CM"],"is_corresponding":false,"raw_author_name":"Germaine Djuidje Kenmoe","raw_affiliation_strings":["Department of Physics, University of Yaounde 1, Yaounde, Cameroon"],"raw_orcid":"https://orcid.org/0000-0002-7303-2340","affiliations":[{"raw_affiliation_string":"Department of Physics, University of Yaounde 1, Yaounde, Cameroon","institution_ids":["https://openalex.org/I1331070479"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03179141,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1080","last_page":"1083"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9987000226974487,"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":0.9987000226974487,"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/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.998199999332428,"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/T14156","display_name":"Engineering Applied Research","score":0.9930999875068665,"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/turbine","display_name":"Turbine","score":0.7256653308868408},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.7074206471443176},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.6728326082229614},{"id":"https://openalex.org/keywords/power-loss","display_name":"Power loss","score":0.5631111860275269},{"id":"https://openalex.org/keywords/marine-engineering","display_name":"Marine engineering","score":0.5096750259399414},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4939771294593811},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4337928891181946},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.41732460260391235},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3142893314361572},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.29762840270996094},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.22699090838432312},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.1806982159614563},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09129065275192261},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.07812991738319397}],"concepts":[{"id":"https://openalex.org/C2778449969","wikidata":"https://www.wikidata.org/wiki/Q130760","display_name":"Turbine","level":2,"score":0.7256653308868408},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.7074206471443176},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.6728326082229614},{"id":"https://openalex.org/C2985627981","wikidata":"https://www.wikidata.org/wiki/Q828827","display_name":"Power loss","level":3,"score":0.5631111860275269},{"id":"https://openalex.org/C199104240","wikidata":"https://www.wikidata.org/wiki/Q118291","display_name":"Marine engineering","level":1,"score":0.5096750259399414},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4939771294593811},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4337928891181946},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.41732460260391235},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3142893314361572},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.29762840270996094},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.22699090838432312},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.1806982159614563},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09129065275192261},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07812991738319397},{"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:10.1145/3701551.3707419","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3701551.3707419","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8799999952316284,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1538454736","https://openalex.org/W1966854560","https://openalex.org/W2598621816","https://openalex.org/W2769273809","https://openalex.org/W2912856246","https://openalex.org/W2913072252","https://openalex.org/W2990138404","https://openalex.org/W3013685828","https://openalex.org/W3033117260","https://openalex.org/W3099657232","https://openalex.org/W3131542309","https://openalex.org/W3182041018","https://openalex.org/W4321854470","https://openalex.org/W4381571703","https://openalex.org/W4382619388","https://openalex.org/W4384561707","https://openalex.org/W4387634898","https://openalex.org/W4401173935","https://openalex.org/W4403810370","https://openalex.org/W4409361075","https://openalex.org/W6778883912","https://openalex.org/W6870736589"],"related_works":["https://openalex.org/W3214712242","https://openalex.org/W2542556245","https://openalex.org/W3204461065","https://openalex.org/W2387456441","https://openalex.org/W1965417009","https://openalex.org/W2018320994","https://openalex.org/W2386317024","https://openalex.org/W2347282218","https://openalex.org/W2994934711","https://openalex.org/W2460685830"],"abstract_inverted_index":{"A":[0],"constant":[1],"and":[2,34,42,105,135,154,159,173,186,219],"consistent":[3],"supply":[4],"in":[5,8,54,80,130,143,167,216],"electrical":[6],"energy":[7,52,69,95,172,184,212],"a":[9,12,15,39,72],"location":[10],"is":[11,38],"reflection":[13],"of":[14,27,61,68,94,117,151,170,177,202,210,221],"good":[16],"economy.":[17],"Developing":[18],"countries":[19],"nevertheless":[20],"don't":[21],"have":[22,125],"access":[23],"to":[24,49,102,140,146,156,163,206],"this":[25,110,203],"quality":[26],"energy,":[28],"which":[29,45,124],"slows":[30],"down":[31],"their":[32,128,152],"economy":[33],"consequently":[35],"development.":[36],"Wind":[37],"clean,":[40],"sustainable":[41],"renewable":[43],"resource":[44],"can":[46],"be":[47,88,98,141,190],"used":[48],"meet":[50],"the":[51,58,66,81,91,103,115,144,168,182,208,222],"needs":[53],"such":[55,197],"countries.":[56],"However,":[57],"intermittent":[59],"nature":[60],"wind":[62,73,82,171,183,211],"yields":[63],"fluctuations":[64],"on":[65,90,181],"amount":[67,93],"produced":[70],"by":[71,213],"turbine.":[74],"Coupled":[75],"with":[76],"frictional":[77],"power":[78,187],"losses":[79,188],"turbine":[83],"gearbox":[84],"bearings,":[85],"one":[86],"can't":[87],"sure":[89],"exact":[92],"that":[96],"will":[97,189],"produced.":[99],"This":[100],"leads":[101],"distribution":[104],"management":[106,218],"issues.":[107],"To":[108],"tackle":[109],"issue,":[111],"we":[112,161],"propose":[113],"here":[114],"use":[116,176,209],"Large":[118,194],"Language":[119,195],"models.":[120],"These":[121],"are":[122,138],"tools":[123],"been":[126],"proving":[127],"potential":[129,137,185],"various":[131],"domains":[132],"till":[133],"date":[134],"whose":[136],"still":[139],"seen":[142],"field":[145],"our":[147],"knowledge.":[148],"Taking":[149],"advantage":[150],"flexibility":[153],"adaptability":[155],"any":[157],"model":[158],"dataset,":[160],"intend":[162],"explore":[164],"its":[165],"abilities":[166],"fields":[169],"tribology.":[174],"Making":[175],"available":[178],"data,":[179],"predictions":[180],"carried":[191],"out":[192],"using":[193],"models":[196],"as":[198],"BERT.":[199],"The":[200],"results":[201],"work":[204],"intends":[205],"promote":[207],"lifting":[214],"barriers":[215],"thee":[217],"knowledge":[220],"resource.":[223]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
