{"id":"https://openalex.org/W4221023673","doi":"https://doi.org/10.1109/tim.2022.3162283","title":"A Novel Transfer Learning Approach in Remaining Useful Life Prediction for Incomplete Dataset","display_name":"A Novel Transfer Learning Approach in Remaining Useful Life Prediction for Incomplete Dataset","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4221023673","doi":"https://doi.org/10.1109/tim.2022.3162283"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2022.3162283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3162283","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5045753422","display_name":"Shahin Siahpour","orcid":"https://orcid.org/0000-0002-5359-7731"},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shahin Siahpour","raw_affiliation_strings":["Department of Mechanical Engineering, University of Cincinnati, Cincinnati, OH, USA"],"raw_orcid":"https://orcid.org/0000-0002-5359-7731","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Cincinnati, Cincinnati, OH, USA","institution_ids":["https://openalex.org/I63135867"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100631401","display_name":"Xiang Li","orcid":"https://orcid.org/0000-0003-0569-2176"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Li","raw_affiliation_strings":["Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi’an Jiaotong University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0003-0569-2176","affiliations":[{"raw_affiliation_string":"Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100686648","display_name":"Jay Lee","orcid":"https://orcid.org/0000-0002-4022-4274"},"institutions":[{"id":"https://openalex.org/I63135867","display_name":"University of Cincinnati","ror":"https://ror.org/01e3m7079","country_code":"US","type":"education","lineage":["https://openalex.org/I63135867"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jay Lee","raw_affiliation_strings":["Department of Mechanical Engineering, University of Cincinnati, Cincinnati, OH, USA"],"raw_orcid":"https://orcid.org/0000-0002-4022-4274","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Cincinnati, Cincinnati, OH, USA","institution_ids":["https://openalex.org/I63135867"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.323,"has_fulltext":false,"cited_by_count":107,"citation_normalized_percentile":{"value":0.99010758,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"71","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9919999837875366,"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":0.9919999837875366,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.987500011920929,"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9825999736785889,"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/computer-science","display_name":"Computer science","score":0.7273644804954529},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.7026276588439941},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6497309803962708},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6098169088363647},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5527047514915466},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5360249876976013},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.517644464969635},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5128498077392578},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4786040484905243},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4346679747104645},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"Knowledge transfer","score":0.4225432872772217},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.41625893115997314},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10417968034744263}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7273644804954529},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.7026276588439941},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6497309803962708},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6098169088363647},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5527047514915466},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5360249876976013},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.517644464969635},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5128498077392578},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4786040484905243},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4346679747104645},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.4225432872772217},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.41625893115997314},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10417968034744263},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2022.3162283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3162283","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Responsible consumption and production","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/12"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W2014685668","https://openalex.org/W2054570131","https://openalex.org/W2110787940","https://openalex.org/W2141065555","https://openalex.org/W2165698076","https://openalex.org/W2471161958","https://openalex.org/W2556013418","https://openalex.org/W2594845301","https://openalex.org/W2612210564","https://openalex.org/W2617137613","https://openalex.org/W2772084711","https://openalex.org/W2773549135","https://openalex.org/W2883525675","https://openalex.org/W2885732902","https://openalex.org/W2900529838","https://openalex.org/W2904460913","https://openalex.org/W2942721092","https://openalex.org/W2945413072","https://openalex.org/W2947160970","https://openalex.org/W2949666355","https://openalex.org/W2963275094","https://openalex.org/W2964627014","https://openalex.org/W2975761873","https://openalex.org/W2983199727","https://openalex.org/W2998115938","https://openalex.org/W2999342951","https://openalex.org/W3016665419","https://openalex.org/W3031466690","https://openalex.org/W3037659411","https://openalex.org/W3037845248","https://openalex.org/W3039883906","https://openalex.org/W3046758541","https://openalex.org/W3115710758","https://openalex.org/W3122985179","https://openalex.org/W3132028723","https://openalex.org/W3134035363","https://openalex.org/W3138116568","https://openalex.org/W3139110105","https://openalex.org/W3155371252","https://openalex.org/W3212222199","https://openalex.org/W4298289240","https://openalex.org/W6637568146"],"related_works":["https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W4380150146","https://openalex.org/W4283773154","https://openalex.org/W3139174110","https://openalex.org/W4289597203","https://openalex.org/W3095487414","https://openalex.org/W4288048773","https://openalex.org/W2901026139","https://openalex.org/W3171384686"],"abstract_inverted_index":{"Due":[0,46],"to":[1,31,41,47,74,141,145,161],"the":[2,17,33,37,42,48,60,76,88,94,130,142,147,154,164,167],"successful":[3],"implementation":[4],"of":[5,63,150,166],"intelligent":[6],"data-driven":[7],"approaches,":[8],"these":[9],"methods":[10],"are":[11,29,72],"gaining":[12],"remarkable":[13],"attention":[14],"in":[15,101,153],"predicting":[16],"remaining":[18],"useful":[19],"life":[20],"(RUL)":[21],"problems.":[22],"Within":[23],"this":[24,113,115],"scope,":[25],"transfer":[26,32,119],"learning":[27,120,133],"approaches":[28],"exploited":[30],"obtained":[34],"knowledge":[35],"from":[36],"source":[38,64],"domain":[39,44,67,96,157],"data":[40,61,77,107],"target":[43,66,95,156],"data.":[45],"different":[49,179],"working":[50],"regimes":[51],"and":[52,65,181],"operating":[53],"conditions,":[54],"there":[55],"exists":[56],"a":[57,118,126,135,170],"discrepancy":[58],"between":[59],"distribution":[62,78],"datasets.":[68,183],"Domain":[69],"adaptation":[70],"techniques":[71],"deployed":[73],"tackle":[75],"discrepancy.":[79],"In":[80,129,159],"most":[81],"prognostic":[82],"problems,":[83],"it":[84],"is":[85,98,108,139],"assumed":[86],"that":[87],"complete":[89,105],"life-cycle":[90,106],"run-to-failure":[91],"information":[92,152],"for":[93,122],"dataset":[97],"available.":[99],"However,":[100],"real-practical":[102],"scenarios,":[103],"providing":[104],"not":[109],"straightforward.":[110],"To":[111],"solve":[112],"issue,":[114],"article":[116],"proposed":[117,131,168],"approach":[121],"RUL":[123],"prediction":[124],"using":[125],"consistency-based":[127,136],"regularization.":[128],"deep":[132],"framework,":[134],"regularization":[137],"term":[138],"added":[140],"objective":[143],"function":[144],"remove":[146],"negative":[148],"effect":[149],"missing":[151],"incomplete":[155],"dataset.":[158],"order":[160],"further":[162],"validate":[163],"effectiveness":[165],"method,":[169],"comprehensive":[171],"experimental":[172],"analysis":[173],"has":[174],"been":[175],"done":[176],"on":[177],"two":[178],"aerospace":[180],"bearing":[182]},"counts_by_year":[{"year":2026,"cited_by_count":12},{"year":2025,"cited_by_count":24},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":33},{"year":2022,"cited_by_count":13}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}