{"id":"https://openalex.org/W4389332190","doi":"https://doi.org/10.1109/cce60043.2023.10332881","title":"Bearing Vibrations Classification for Failure Detection with Machine Learning Tools","display_name":"Bearing Vibrations Classification for Failure Detection with Machine Learning Tools","publication_year":2023,"publication_date":"2023-10-25","ids":{"openalex":"https://openalex.org/W4389332190","doi":"https://doi.org/10.1109/cce60043.2023.10332881"},"language":"en","primary_location":{"id":"doi:10.1109/cce60043.2023.10332881","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cce60043.2023.10332881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 20th 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","Electrical Engineering Department, CINVESTAV-IPN, Mexico City, Mexico"],"affiliations":[{"raw_affiliation_string":"CINVESTAV-IPN,Electrical Engineering Department,Mexico City,Mexico","institution_ids":["https://openalex.org/I68368234"]},{"raw_affiliation_string":"Electrical Engineering Department, CINVESTAV-IPN, 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","Electrical Engineering Department, CINVESTAV-IPN, Mexico City, Mexico"],"affiliations":[{"raw_affiliation_string":"CINVESTAV-IPN,Electrical Engineering Department,Mexico City,Mexico","institution_ids":["https://openalex.org/I68368234"]},{"raw_affiliation_string":"Electrical Engineering Department, CINVESTAV-IPN, 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","Electrical Engineering Department, CINVESTAV-IPN, Mexico City, Mexico"],"affiliations":[{"raw_affiliation_string":"CINVESTAV-IPN,Electrical Engineering Department,Mexico City,Mexico","institution_ids":["https://openalex.org/I68368234"]},{"raw_affiliation_string":"Electrical Engineering Department, CINVESTAV-IPN, Mexico City, Mexico","institution_ids":["https://openalex.org/I68368234"]}]},{"author_position":"middle","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 Casta\u00f1eda","raw_affiliation_strings":["CINVESTAV-IPN,Electrical Engineering Department,Mexico City,Mexico","Electrical Engineering Department, CINVESTAV-IPN, Mexico City, Mexico"],"affiliations":[{"raw_affiliation_string":"CINVESTAV-IPN,Electrical Engineering Department,Mexico City,Mexico","institution_ids":["https://openalex.org/I68368234"]},{"raw_affiliation_string":"Electrical Engineering Department, CINVESTAV-IPN, Mexico City, Mexico","institution_ids":["https://openalex.org/I68368234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021190279","display_name":"Jos\u00e9 Antonio Moreno Cadenas","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":"Jos\u00e9 Antonio Moreno Cadenas","raw_affiliation_strings":["CINVESTAV-IPN,Electrical Engineering Department,Mexico City,Mexico","Electrical Engineering Department, CINVESTAV-IPN, Mexico City, Mexico"],"affiliations":[{"raw_affiliation_string":"CINVESTAV-IPN,Electrical Engineering Department,Mexico City,Mexico","institution_ids":["https://openalex.org/I68368234"]},{"raw_affiliation_string":"Electrical Engineering Department, CINVESTAV-IPN, Mexico City, Mexico","institution_ids":["https://openalex.org/I68368234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5093419822"],"corresponding_institution_ids":["https://openalex.org/I68368234"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19939591,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9973000288009644,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9936000108718872,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7372859716415405},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6737576723098755},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6196335554122925},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.592616617679596},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5525939464569092},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5294223427772522},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.527916669845581},{"id":"https://openalex.org/keywords/accelerometer","display_name":"Accelerometer","score":0.524797797203064},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.5043627023696899},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5037242770195007},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.4930822551250458},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4666212797164917},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45242393016815186},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.4238567054271698}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7372859716415405},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6737576723098755},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6196335554122925},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.592616617679596},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5525939464569092},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5294223427772522},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.527916669845581},{"id":"https://openalex.org/C89805583","wikidata":"https://www.wikidata.org/wiki/Q192940","display_name":"Accelerometer","level":2,"score":0.524797797203064},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.5043627023696899},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5037242770195007},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.4930822551250458},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4666212797164917},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45242393016815186},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.4238567054271698},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cce60043.2023.10332881","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cce60043.2023.10332881","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 20th 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":5,"referenced_works":["https://openalex.org/W2109998721","https://openalex.org/W2216878979","https://openalex.org/W2967743080","https://openalex.org/W3010079658","https://openalex.org/W3028414831"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W2145836866","https://openalex.org/W2803255133","https://openalex.org/W4321789545"],"abstract_inverted_index":{"In":[0],"this":[1,156],"work,":[2],"we":[3],"have":[4,68],"utilized":[5,89],"Artificial":[6],"Intelligence":[7],"for":[8,120],"the":[9,49,53,62,74,83,124,135,146,152,162,170,179],"extraction":[10],"and":[11,51,134,151,172],"recognition":[12],"of":[13,35],"mechanical":[14,27],"vibration":[15],"information,":[16,56],"which":[17,165],"was":[18],"obtained":[19],"by":[20,93,105],"electronic":[21],"instruments,":[22],"to":[23],"identify":[24],"whether":[25],"a":[26,41,69,90,114,131],"device":[28],"is":[29,77],"healthy":[30,132],"or":[31],"presents":[32],"some":[33],"kind":[34],"failure.":[36],"We":[37,175],"focused":[38],"on":[39,98,113],"building":[40],"Deep":[42],"Autoencoder":[43],"architecture":[44],"(an":[45],"unsupervised":[46],"architecture),":[47],"training":[48],"model,":[50],"extracting":[52],"internal":[54,75],"structural":[55],"also":[57,176],"known":[58],"as":[59],"clustering.":[60],"Lastly,":[61],"compressed":[63],"information":[64],"(as":[65],"most":[66],"Autoencoders":[67],"reduced":[70],"input":[71],"representation":[72],"in":[73,145,167],"structure)":[76],"classified":[78],"into":[79],"two":[80],"classes":[81],"using":[82,159],"supervised":[84],"Extreme":[85],"Learning":[86],"Machine":[87],"model.We":[88],"dataset":[91],"provided":[92],"Case":[94],"Western":[95],"Reserve":[96],"University":[97],"its":[99],"website.":[100],"The":[101,116],"signals":[102,129],"were":[103,118],"measured":[104],"sampling":[106],"an":[107],"accelerometer":[108],"at":[109],"12kS/s,":[110],"radially":[111],"placed":[112],"bearing.":[115],"measurements":[117],"taken":[119],"four":[121],"cases,":[122],"namely:":[123],"first":[125],"case":[126],"encompassed":[127],"vibrational":[128],"from":[130],"bearing,":[133],"other":[136],"three":[137],"cases":[138],"involved":[139],"bearings":[140],"with":[141,169],"intentionally":[142],"induced":[143],"failures":[144],"inner":[147],"race,":[148,150],"outer":[149],"ball,":[153],"respectively.We":[154],"developed":[155],"intelligent":[157],"system":[158],"Python":[160],"within":[161],"Jupyter":[163],"environment,":[164],"operates":[166],"conjunction":[168],"TensorFlow":[171],"Keras":[173],"frameworks.":[174],"successfully":[177],"trained":[178],"model.":[180]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}