{"id":"https://openalex.org/W4406264749","doi":"https://doi.org/10.1109/cce62852.2024.10771013","title":"Bearing Failure Classification with Metaheuristic Adjust of the Extreme Learning Machine Model","display_name":"Bearing Failure Classification with Metaheuristic Adjust of the Extreme Learning Machine Model","publication_year":2024,"publication_date":"2024-10-23","ids":{"openalex":"https://openalex.org/W4406264749","doi":"https://doi.org/10.1109/cce62852.2024.10771013"},"language":"en","primary_location":{"id":"doi:10.1109/cce62852.2024.10771013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cce62852.2024.10771013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 21st International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","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/A5093419822","display_name":"Luis Elias Salgado Solano","orcid":null},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Center for Research and Advanced Studies of the National Polytechnic Institute","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Luis Elias Salgado Solano","raw_affiliation_strings":["CINVESTAV-IPN,Electrical Engineering Department,Mexico City,Mexico"],"affiliations":[{"raw_affiliation_string":"CINVESTAV-IPN,Electrical Engineering Department,Mexico City,Mexico","institution_ids":["https://openalex.org/I68368234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062883007","display_name":"Oliverio Arellano C\u00e1rdenas","orcid":null},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Center for Research and Advanced Studies of the National Polytechnic Institute","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Oliverio Arellano C\u00e1rdenas","raw_affiliation_strings":["CINVESTAV-IPN,Electrical Engineering Department,Mexico City,Mexico"],"affiliations":[{"raw_affiliation_string":"CINVESTAV-IPN,Electrical Engineering Department,Mexico City,Mexico","institution_ids":["https://openalex.org/I68368234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021850406","display_name":"Luis Mart\u00edn Flores Nava","orcid":null},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Center for Research and Advanced Studies of the National Polytechnic Institute","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Luis Mart\u00edn Flores Nava","raw_affiliation_strings":["CINVESTAV-IPN,Electrical Engineering Department,Mexico City,Mexico"],"affiliations":[{"raw_affiliation_string":"CINVESTAV-IPN,Electrical Engineering Department,Mexico City,Mexico","institution_ids":["https://openalex.org/I68368234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019116370","display_name":"Felipe G\u00f3mez Casta\u00f1eda","orcid":"https://orcid.org/0000-0002-5181-0957"},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Center for Research and Advanced Studies of the National Polytechnic Institute","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Felipe G\u00f3mez Castaneda","raw_affiliation_strings":["CINVESTAV-IPN,Electrical Engineering Department,Mexico City,Mexico"],"affiliations":[{"raw_affiliation_string":"CINVESTAV-IPN,Electrical Engineering Department,Mexico City,Mexico","institution_ids":["https://openalex.org/I68368234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5093419822"],"corresponding_institution_ids":["https://openalex.org/I68368234"],"apc_list":null,"apc_paid":null,"fwci":0.3637,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70709548,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.996399998664856,"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"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.996399998664856,"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"}},{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9805999994277954,"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/T13341","display_name":"Belt Conveyor Systems Engineering","score":0.957099974155426,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.7509118318557739},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.7009214162826538},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.6587457656860352},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6308457255363464},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5094473958015442},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48254984617233276},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09349197149276733}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.7509118318557739},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.7009214162826538},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.6587457656860352},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6308457255363464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5094473958015442},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48254984617233276},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09349197149276733}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cce62852.2024.10771013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cce62852.2024.10771013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 21st International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W2969890106","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694"],"abstract_inverted_index":{"In":[0,75],"this":[1,76],"study,":[2],"we":[3],"propose":[4],"the":[5,31,78,117,133],"use":[6],"of":[7,17,41],"an":[8,84],"Extreme":[9,49],"Learning":[10,50,144],"Machine":[11,51],"model":[12,52],"with":[13,102,111,137],"a":[14,47,58,64,92,106],"metaheuristic":[15],"adjust":[16],"parameters,":[18],"to":[19,28],"recognize":[20],"mechanical":[21],"vibration":[22],"data":[23,95],"from":[24,66,105],"bearings,":[25],"in":[26,34,116,132],"order":[27],"determine":[29],"whether":[30],"device":[32],"is":[33],"good":[35],"condition":[36],"or":[37],"experiencing":[38],"some":[39],"type":[40],"malfunction.":[42],"Our":[43],"approach":[44],"involved":[45],"designing":[46],"supervised":[48],"whose":[53],"parameters":[54],"are":[55],"adjusted":[56],"by":[57,82],"Grey":[59],"Wolf":[60],"approach.":[61],"We":[62],"employed":[63],"dataset":[65],"Case":[67],"Western":[68],"Reserve":[69],"University,":[70],"available":[71],"on":[72,91],"their":[73],"website.":[74],"database":[77],"signals":[79,104],"were":[80],"gathered":[81],"sampling":[83],"accelerometer":[85],"at":[86],"12":[87],"kS/s,":[88],"placed":[89],"radially":[90],"bearing.":[93],"The":[94],"was":[96,128],"collected":[97],"for":[98],"four":[99],"scenarios:":[100],"one":[101],"vibrational":[103],"healthy":[107],"bearing,":[108],"and":[109,122],"three":[110],"bearings":[112],"having":[113],"induced":[114],"faults":[115],"inner":[118],"race,":[119,121],"outer":[120],"ball,":[123],"respectively.":[124],"This":[125],"intelligent":[126],"system":[127],"developed":[129],"using":[130],"Python":[131],"Spyder":[134],"environment,":[135],"integrated":[136],"Pytorch":[138],"framework,":[139],"obtaining":[140],"promising":[141],"results.":[142],"Keywords-Extreme":[143],"Machine,":[145],"metaheuristics,":[146],"bearing":[147],"failures,":[148],"artificial":[149],"intelligence.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
