{"id":"https://openalex.org/W2745068553","doi":"https://doi.org/10.1109/isie.2017.8001523","title":"Binary feature selection classifier ensemble for fault diagnosis of submersible motor pump","display_name":"Binary feature selection classifier ensemble for fault diagnosis of submersible motor pump","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2745068553","doi":"https://doi.org/10.1109/isie.2017.8001523","mag":"2745068553"},"language":"en","primary_location":{"id":"doi:10.1109/isie.2017.8001523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isie.2017.8001523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 26th International Symposium on Industrial Electronics (ISIE)","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/A5078430550","display_name":"Francisco de Assis Boldt","orcid":"https://orcid.org/0000-0001-6919-5377"},"institutions":[{"id":"https://openalex.org/I51235708","display_name":"Universidade Federal do Esp\u00edrito Santo","ror":"https://ror.org/05sxf4h28","country_code":"BR","type":"education","lineage":["https://openalex.org/I51235708"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Francisco de Assis Boldt","raw_affiliation_strings":["Departamento de Inform\u00e1tica, Universidade Federal do Esp\u00edrito Santo, Vit\u00f3ria, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Inform\u00e1tica, Universidade Federal do Esp\u00edrito Santo, Vit\u00f3ria, Brazil","institution_ids":["https://openalex.org/I51235708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002706357","display_name":"Thomas W. Rauber","orcid":"https://orcid.org/0000-0002-6380-6584"},"institutions":[{"id":"https://openalex.org/I51235708","display_name":"Universidade Federal do Esp\u00edrito Santo","ror":"https://ror.org/05sxf4h28","country_code":"BR","type":"education","lineage":["https://openalex.org/I51235708"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Thomas Walter Rauber","raw_affiliation_strings":["Departamento de Inform\u00e1tica, Universidade Federal do Esp\u00edrito Santo, Vit\u00f3ria, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Inform\u00e1tica, Universidade Federal do Esp\u00edrito Santo, Vit\u00f3ria, Brazil","institution_ids":["https://openalex.org/I51235708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037893575","display_name":"Thiago Oliveira-Santos","orcid":"https://orcid.org/0000-0001-7607-635X"},"institutions":[{"id":"https://openalex.org/I51235708","display_name":"Universidade Federal do Esp\u00edrito Santo","ror":"https://ror.org/05sxf4h28","country_code":"BR","type":"education","lineage":["https://openalex.org/I51235708"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Thiago Oliveira-Santos","raw_affiliation_strings":["Departamento de Inform\u00e1tica, Universidade Federal do Esp\u00edrito Santo, Vit\u00f3ria, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Inform\u00e1tica, Universidade Federal do Esp\u00edrito Santo, Vit\u00f3ria, Brazil","institution_ids":["https://openalex.org/I51235708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023566044","display_name":"Alexandre Rodrigues","orcid":"https://orcid.org/0000-0002-7619-2681"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alexandre Rodrigues","raw_affiliation_strings":["Departamento de Estat\u00edstica"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Estat\u00edstica","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007198974","display_name":"Fl\u00e1vio Miguel Varej\u00e3o","orcid":"https://orcid.org/0000-0002-5444-1974"},"institutions":[{"id":"https://openalex.org/I51235708","display_name":"Universidade Federal do Esp\u00edrito Santo","ror":"https://ror.org/05sxf4h28","country_code":"BR","type":"education","lineage":["https://openalex.org/I51235708"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Flavio M. Varejao","raw_affiliation_strings":["Departamento de Inform\u00e1tica, Universidade Federal do Esp\u00edrito Santo, Vit\u00f3ria, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Inform\u00e1tica, Universidade Federal do Esp\u00edrito Santo, Vit\u00f3ria, Brazil","institution_ids":["https://openalex.org/I51235708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005499007","display_name":"Marcos Pellegrini Ribeiro","orcid":"https://orcid.org/0000-0002-8605-942X"},"institutions":[{"id":"https://openalex.org/I4210103631","display_name":"Centro de Estudos e Pesquisa em Sa\u00fade Coletiva","ror":"https://ror.org/01dwh3q17","country_code":"BR","type":"nonprofit","lineage":["https://openalex.org/I4210103631"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marcos Pellegrini Ribeiro","raw_affiliation_strings":["CENPES/PDP/TE, Rio de Janeiro, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CENPES/PDP/TE, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I4210103631"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8163,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.74343259,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1807","last_page":"1812"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9984999895095825,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9984999895095825,"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/T13050","display_name":"Oil and Gas Production Techniques","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9835000038146973,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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":0.6979765295982361},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6900452971458435},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6654149889945984},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6307235956192017},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5698124170303345},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5672802925109863},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47887247800827026},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4341091513633728},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4254693388938904},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3580706715583801},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1809276044368744},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0937371551990509}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6979765295982361},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6900452971458435},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6654149889945984},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6307235956192017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5698124170303345},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5672802925109863},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47887247800827026},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4341091513633728},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4254693388938904},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3580706715583801},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1809276044368744},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0937371551990509},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isie.2017.8001523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isie.2017.8001523","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 26th International Symposium on Industrial Electronics (ISIE)","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":17,"referenced_works":["https://openalex.org/W1546113605","https://openalex.org/W1565746575","https://openalex.org/W1676820704","https://openalex.org/W2004039783","https://openalex.org/W2026535637","https://openalex.org/W2069349058","https://openalex.org/W2115629999","https://openalex.org/W2162410173","https://openalex.org/W2170505850","https://openalex.org/W2569154995","https://openalex.org/W2577263376","https://openalex.org/W2587060685","https://openalex.org/W2998216295","https://openalex.org/W4285719527","https://openalex.org/W4302368431","https://openalex.org/W6632582745","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W3034338377","https://openalex.org/W2373792516","https://openalex.org/W2380784125","https://openalex.org/W2364654346","https://openalex.org/W2538183362","https://openalex.org/W3158472548","https://openalex.org/W4382934300","https://openalex.org/W2121061354","https://openalex.org/W4285388059","https://openalex.org/W2999368888"],"abstract_inverted_index":{"The":[0,102],"main":[1],"motivation":[2],"to":[3,8,14,41,57,79,113,149],"develop":[4],"this":[5],"work":[6,17],"is":[7,49,63,141],"create":[9],"a":[10,46,129],"diagnosis":[11],"system":[12],"able":[13],"facilitate":[15],"the":[16,66,81,99,105,115,122,142,145],"of":[18,27,71,108,144],"human":[19],"experts":[20],"responsible":[21],"for":[22,36],"detecting":[23],"faults":[24],"before":[25],"acquisition":[26],"submersible":[28],"petroleum":[29],"motor":[30],"pump":[31],"systems.":[32],"A":[33,138],"new":[34],"approach":[35,124],"multiclass":[37],"learning":[38],"by":[39],"reduction":[40],"multiple,":[42],"binary":[43],"classifiers,":[44],"in":[45,128],"one-versus-one":[47],"scheme,":[48],"presented":[50],"as":[51],"an":[52,61],"alternative":[53],"artificial":[54],"intelligence":[55],"solution":[56],"diagnose":[58],"faults.":[59],"Such":[60],"idea":[62],"based":[64],"on":[65],"hypothesis":[67],"that":[68,121],"each":[69,109],"pair":[70,111],"process":[72],"conditions":[73],"has":[74],"different":[75],"optimal":[76],"feature":[77],"sets":[78],"improve":[80],"classification":[82,126],"performance.":[83],"Thus,":[84],"features":[85],"are":[86,96],"selected":[87,100],"from":[88],"datasets":[89],"containing":[90],"only":[91],"two":[92],"classes.":[93],"Then,":[94],"classifiers":[95],"trained":[97],"with":[98,135],"features.":[101],"combination":[103],"uses":[104],"average":[106],"confidence":[107],"classifier":[110],"prediction":[112],"calculate":[114],"ensemble":[116],"answer.":[117],"Experimental":[118],"results":[119],"show":[120],"proposed":[123],"improves":[125],"performance":[127],"statistically":[130],"significant":[131],"way,":[132],"when":[133],"compared":[134],"correlated":[136],"work.":[137],"secondary":[139],"contribution":[140],"analysis":[143],"most":[146],"difficult":[147],"fault":[148],"be":[150],"identified,":[151],"namely":[152],"rubbing.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}