{"id":"https://openalex.org/W4405935228","doi":"https://doi.org/10.1109/la-cci62337.2024.10814888","title":"Remaining Useful Life Prediction of Turbofan Engines with Fuzzy Systems","display_name":"Remaining Useful Life Prediction of Turbofan Engines with Fuzzy Systems","publication_year":2024,"publication_date":"2024-11-13","ids":{"openalex":"https://openalex.org/W4405935228","doi":"https://doi.org/10.1109/la-cci62337.2024.10814888"},"language":"en","primary_location":{"id":"doi:10.1109/la-cci62337.2024.10814888","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci62337.2024.10814888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","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":null,"display_name":"Marcelo Aguiar","orcid":null},"institutions":[{"id":"https://openalex.org/I2699952","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio de Janeiro","ror":"https://ror.org/01dg47b60","country_code":"BR","type":"education","lineage":["https://openalex.org/I2699952"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Marcelo Aguiar","raw_affiliation_strings":["PUC-Rio,Electrical Eng. Dept.,Rio de Janeiro,Brazil"],"affiliations":[{"raw_affiliation_string":"PUC-Rio,Electrical Eng. Dept.,Rio de Janeiro,Brazil","institution_ids":["https://openalex.org/I2699952"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085598532","display_name":"Marley Vellasco","orcid":"https://orcid.org/0000-0002-9790-1328"},"institutions":[{"id":"https://openalex.org/I2699952","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio de Janeiro","ror":"https://ror.org/01dg47b60","country_code":"BR","type":"education","lineage":["https://openalex.org/I2699952"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marley Vellasco","raw_affiliation_strings":["PUC-Rio,Electrical Eng. Dept.,Rio de Janeiro,Brazil"],"affiliations":[{"raw_affiliation_string":"PUC-Rio,Electrical Eng. Dept.,Rio de Janeiro,Brazil","institution_ids":["https://openalex.org/I2699952"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042358642","display_name":"Ricardo Tanscheit","orcid":"https://orcid.org/0000-0002-8688-9095"},"institutions":[{"id":"https://openalex.org/I2699952","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio de Janeiro","ror":"https://ror.org/01dg47b60","country_code":"BR","type":"education","lineage":["https://openalex.org/I2699952"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ricardo Tanscheit","raw_affiliation_strings":["PUC-Rio,Electrical Eng. Dept.,Rio de Janeiro,Brazil"],"affiliations":[{"raw_affiliation_string":"PUC-Rio,Electrical Eng. Dept.,Rio de Janeiro,Brazil","institution_ids":["https://openalex.org/I2699952"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083591086","display_name":"Manoela Kohler","orcid":"https://orcid.org/0000-0002-0962-8430"},"institutions":[{"id":"https://openalex.org/I2699952","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio de Janeiro","ror":"https://ror.org/01dg47b60","country_code":"BR","type":"education","lineage":["https://openalex.org/I2699952"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Manoela Kohler","raw_affiliation_strings":["PUC-Rio,Electrical Eng. Dept.,Rio de Janeiro,Brazil"],"affiliations":[{"raw_affiliation_string":"PUC-Rio,Electrical Eng. Dept.,Rio de Janeiro,Brazil","institution_ids":["https://openalex.org/I2699952"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091743378","display_name":"Marco Aur\u00e9lio C. Pacheco","orcid":"https://orcid.org/0000-0002-2381-0183"},"institutions":[{"id":"https://openalex.org/I2699952","display_name":"Pontif\u00edcia Universidade Cat\u00f3lica do Rio de Janeiro","ror":"https://ror.org/01dg47b60","country_code":"BR","type":"education","lineage":["https://openalex.org/I2699952"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Marco Pacheco","raw_affiliation_strings":["PUC-Rio,Electrical Eng. Dept.,Rio de Janeiro,Brazil"],"affiliations":[{"raw_affiliation_string":"PUC-Rio,Electrical Eng. Dept.,Rio de Janeiro,Brazil","institution_ids":["https://openalex.org/I2699952"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2699952"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26959929,"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":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13858","display_name":"Technical Engine Diagnostics and Monitoring","score":0.9372000098228455,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T13858","display_name":"Technical Engine Diagnostics and Monitoring","score":0.9372000098228455,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/turbofan","display_name":"Turbofan","score":0.9256240129470825},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6126018762588501},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5690338015556335},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2815377414226532},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.19085299968719482},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16792160272598267}],"concepts":[{"id":"https://openalex.org/C110050840","wikidata":"https://www.wikidata.org/wiki/Q654051","display_name":"Turbofan","level":2,"score":0.9256240129470825},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6126018762588501},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5690338015556335},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2815377414226532},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.19085299968719482},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16792160272598267}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/la-cci62337.2024.10814888","is_oa":false,"landing_page_url":"https://doi.org/10.1109/la-cci62337.2024.10814888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Latin American Conference on Computational Intelligence (LA-CCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","score":0.4300000071525574,"display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2004753768","https://openalex.org/W2032521963","https://openalex.org/W2055849370","https://openalex.org/W2415594836","https://openalex.org/W2772084711","https://openalex.org/W2794987257","https://openalex.org/W2902700103","https://openalex.org/W2998243119","https://openalex.org/W3120284962","https://openalex.org/W6745609711"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4233568029","https://openalex.org/W2967774773","https://openalex.org/W3166075233","https://openalex.org/W2373556961","https://openalex.org/W2375127734","https://openalex.org/W4386141271","https://openalex.org/W2074007942"],"abstract_inverted_index":{"Since":[0],"the":[1,4,15,18,22,48,71,75,86,99,102,108,112,126,143,154,158],"beginning":[2],"of":[3,27,50,101],"21st":[5],"century,":[6],"predictive":[7],"maintenance":[8],"(PdM)":[9],"has":[10],"gained":[11],"increasing":[12],"prominence":[13],"in":[14,140,156,171],"industry,":[16],"providing":[17],"capability":[19],"to":[20,84,94,131,142,163],"predict":[21],"Remaining":[23],"Useful":[24],"Life":[25],"(RUL)":[26],"equipment":[28],"and":[29,32,74,97,119],"mitigate":[30],"accidents":[31],"financial":[33],"losses.":[34],"In":[35],"this":[36,64,134],"context,":[37],"Machine":[38],"Learning":[39],"(ML)":[40],"models":[41,68],"are":[42,174],"widely":[43],"employed.":[44],"This":[45,150],"study":[46],"proposes":[47],"prediction":[49],"Turbofan":[51],"engine":[52],"RUL":[53],"through":[54],"a":[55,90],"machine":[56],"learning":[57],"model":[58,106,136,144],"trained":[59],"with":[60,107,115],"historical":[61],"data":[62],"from":[63],"equipment.":[65],"Two":[66],"distinct":[67],"were":[69],"evaluated:":[70],"Fuzzy":[72,103,113,121,159],"System":[73,114],"Neuro-Fuzzy":[76],"System.":[77,104],"To":[78],"enable":[79],"training,":[80],"it":[81],"was":[82,111],"necessary":[83],"select":[85],"best":[87,109],"features":[88,118],"using":[89],"genetic":[91],"algorithm,":[92],"aiming":[93],"reduce":[95],"complexity":[96],"enhance":[98],"performance":[100,110,139],"The":[105],"5":[116],"selected":[117],"11":[120],"sets.":[122],"Despite":[123],"not":[124],"yielding":[125],"lowest":[127],"RMSE":[128],"metric":[129],"compared":[130],"related":[132],"works,":[133],"interpretable":[135],"demonstrated":[137],"reasonable":[138],"comparison":[141],"by":[145],"Babu":[146],"et":[147],"al.":[148],"[8].":[149],"suggests":[151],"that,":[152],"for":[153,177],"dataset":[155],"question,":[157],"system":[160],"is":[161],"recommended":[162],"ensure":[164],"better":[165,175],"interpretability,":[166],"while":[167],"neural":[168],"networks":[169],"used":[170],"previous":[172],"studies":[173],"suited":[176],"precise":[178],"predictions.":[179]},"counts_by_year":[],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}