{"id":"https://openalex.org/W3109619266","doi":"https://doi.org/10.1109/codit49905.2020.9263930","title":"A Data-Driven Prognostics Technique and RUL Prediction of Rotating Machines Using an Exponential Degradation Model","display_name":"A Data-Driven Prognostics Technique and RUL Prediction of Rotating Machines Using an Exponential Degradation Model","publication_year":2020,"publication_date":"2020-06-29","ids":{"openalex":"https://openalex.org/W3109619266","doi":"https://doi.org/10.1109/codit49905.2020.9263930","mag":"3109619266"},"language":"en","primary_location":{"id":"doi:10.1109/codit49905.2020.9263930","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit49905.2020.9263930","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","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/A5079525420","display_name":"Islem Bejaoui","orcid":"https://orcid.org/0000-0003-2959-7181"},"institutions":[{"id":"https://openalex.org/I112862951","display_name":"University of Messina","ror":"https://ror.org/05ctdxz19","country_code":"IT","type":"education","lineage":["https://openalex.org/I112862951"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Islem Bejaoui","raw_affiliation_strings":["Department of Engineering, University of Messina, Messina, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Messina, Messina, Italy","institution_ids":["https://openalex.org/I112862951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043595191","display_name":"Dario Bruneo","orcid":"https://orcid.org/0000-0002-6080-9077"},"institutions":[{"id":"https://openalex.org/I112862951","display_name":"University of Messina","ror":"https://ror.org/05ctdxz19","country_code":"IT","type":"education","lineage":["https://openalex.org/I112862951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Dario Bruneo","raw_affiliation_strings":["Department of Engineering, University of Messina, Messina, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Messina, Messina, Italy","institution_ids":["https://openalex.org/I112862951"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087482922","display_name":"Maria Gabriella Xibilia","orcid":"https://orcid.org/0000-0001-7723-2051"},"institutions":[{"id":"https://openalex.org/I112862951","display_name":"University of Messina","ror":"https://ror.org/05ctdxz19","country_code":"IT","type":"education","lineage":["https://openalex.org/I112862951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Maria Gabriella Xibilia","raw_affiliation_strings":["Department of Engineering, University of Messina, Messina, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Messina, Messina, Italy","institution_ids":["https://openalex.org/I112862951"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079525420"],"corresponding_institution_ids":["https://openalex.org/I112862951"],"apc_list":null,"apc_paid":null,"fwci":1.3241,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.80885244,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"703","last_page":"708"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9864000082015991,"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"}},{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/prognostics","display_name":"Prognostics","score":0.9428409337997437},{"id":"https://openalex.org/keywords/rotor","display_name":"Rotor (electric)","score":0.6514523029327393},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5946914553642273},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.584042489528656},{"id":"https://openalex.org/keywords/condition-monitoring","display_name":"Condition monitoring","score":0.5595586895942688},{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.5575291514396667},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5463231205940247},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5392997860908508},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.49478787183761597},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.44854021072387695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3459135591983795},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34204810857772827},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.33218497037887573},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.07469046115875244}],"concepts":[{"id":"https://openalex.org/C129364497","wikidata":"https://www.wikidata.org/wiki/Q3042561","display_name":"Prognostics","level":2,"score":0.9428409337997437},{"id":"https://openalex.org/C17281054","wikidata":"https://www.wikidata.org/wiki/Q193466","display_name":"Rotor (electric)","level":2,"score":0.6514523029327393},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5946914553642273},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.584042489528656},{"id":"https://openalex.org/C2775846686","wikidata":"https://www.wikidata.org/wiki/Q643012","display_name":"Condition monitoring","level":2,"score":0.5595586895942688},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.5575291514396667},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5463231205940247},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5392997860908508},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.49478787183761597},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.44854021072387695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3459135591983795},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34204810857772827},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.33218497037887573},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.07469046115875244},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/codit49905.2020.9263930","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit49905.2020.9263930","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 7th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","score":0.4099999964237213,"display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1833639553","https://openalex.org/W2005523062","https://openalex.org/W2019735769","https://openalex.org/W2066807567","https://openalex.org/W2076774767","https://openalex.org/W2128865404","https://openalex.org/W2139853183","https://openalex.org/W2162204245","https://openalex.org/W2584531144","https://openalex.org/W2741768983","https://openalex.org/W2766110718","https://openalex.org/W2773549135","https://openalex.org/W2790945257","https://openalex.org/W2805975258","https://openalex.org/W2810292802","https://openalex.org/W2901041974","https://openalex.org/W2901867625","https://openalex.org/W2913243025","https://openalex.org/W2953181901","https://openalex.org/W2965445157"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2908973203","https://openalex.org/W1585144779","https://openalex.org/W2801712269","https://openalex.org/W1872896676","https://openalex.org/W2045186954","https://openalex.org/W3000986292","https://openalex.org/W2156691445","https://openalex.org/W2123638926","https://openalex.org/W1502469213"],"abstract_inverted_index":{"Accurate":[0],"Remaining":[1],"Useful":[2],"Life":[3],"(RUL)":[4],"prediction":[5,73],"of":[6,21,27,36,47,74,80,107,152,165,174],"machines":[7],"is":[8,25,34,140,159],"important":[9,30],"for":[10,112],"condition-based":[11],"maintenance,":[12],"in":[13,156],"order":[14],"to":[15,68,103,127,142],"improve":[16],"the":[17,28,37,44,81,100,105,108,122,129,144,153],"reliability":[18],"and":[19,33,63],"costs":[20],"maintenance.":[22],"The":[23,77,115,150],"rotor":[24,75,168],"one":[26,35],"most":[29,38,130],"equipment":[31],"parts":[32],"common":[39],"failure":[40],"points.":[41],"To":[42],"assess":[43],"degradation":[45,66,138,163],"life":[46],"rotating":[48],"machines,":[49],"this":[50,147],"paper":[51],"proposes":[52],"a":[53,162,166,171],"data-driven":[54],"prognostic":[55,83],"technique":[56,84,102,126],"that":[57],"utilizes":[58],"an":[59,64,70,136,175],"unsupervised":[60],"trend":[61],"extraction":[62,91],"exponential":[65,137],"model":[67,139,173],"obtain":[69],"accurate":[71],"RUL":[72,145],"failures.":[76],"main":[78],"steps":[79],"proposed":[82,154],"are":[85,118],"condition":[86],"monitoring":[87,158],"data":[88],"acquisition,":[89],"feature":[90,96],"using":[92,121,146],"signal":[93],"processing":[94],"techniques,":[95],"selection":[97],"based":[98],"on":[99,161],"monotonicity":[101],"quantify":[104],"merit":[106],"best":[109],"representative":[110],"features":[111,117],"prognosis":[113],"purposes.":[114],"selected":[116],"then":[119],"combined":[120],"principal":[123],"component":[124,132,157],"analysis":[125],"get":[128],"appropriate":[131],"health":[133,148],"indicator.":[134,149],"Finally,":[135],"used":[141],"estimate":[143],"suitability":[151],"approach":[155],"demonstrated":[160],"dataset":[164],"faulty":[167],"acquired":[169],"from":[170],"Simulink":[172],"induction":[176],"motor.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4}],"updated_date":"2025-11-20T23:13:51.555489","created_date":"2025-10-10T00:00:00"}
