{"id":"https://openalex.org/W4377822140","doi":"https://doi.org/10.1115/1.4062599","title":"Feature Extraction Based on Self-Supervised Learning for Remaining Useful Life Prediction","display_name":"Feature Extraction Based on Self-Supervised Learning for Remaining Useful Life Prediction","publication_year":2023,"publication_date":"2023-05-23","ids":{"openalex":"https://openalex.org/W4377822140","doi":"https://doi.org/10.1115/1.4062599"},"language":"en","primary_location":{"id":"doi:10.1115/1.4062599","is_oa":false,"landing_page_url":"https://doi.org/10.1115/1.4062599","pdf_url":null,"source":{"id":"https://openalex.org/S173178594","display_name":"Journal of Computing and Information Science in Engineering","issn_l":"1530-9827","issn":["1530-9827","1944-7078"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316053","host_organization_name":"ASM International","host_organization_lineage":["https://openalex.org/P4310316053"],"host_organization_lineage_names":["ASM International"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing and Information Science in Engineering","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/A5101921007","display_name":"Zhenjun Yu","orcid":"https://orcid.org/0000-0001-9975-1653"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenjun Yu","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School Division of Information Science, , Shenzhen 518055 , China","Tsinghua University Department of Automation, , Beijing 100084 , China ;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School Division of Information Science, , Shenzhen 518055 , China","institution_ids":[]},{"raw_affiliation_string":"Tsinghua University Department of Automation, , Beijing 100084 , China ;","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092002464","display_name":"Ningbo Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I4210097777","display_name":"China General Nuclear Power Corporation (China)","ror":"https://ror.org/00fpj7t66","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210097777"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ningbo Lei","raw_affiliation_strings":["China Nuclear Power Engineering, Co. Ltd , Beijing 100840 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Nuclear Power Engineering, Co. Ltd , Beijing 100840 , China","institution_ids":["https://openalex.org/I4210097777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102025157","display_name":"Mo Yu","orcid":"https://orcid.org/0000-0002-5805-3442"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Mo","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School Division of Information Science, , Shenzhen 518055 , China","Tsinghua University Department of Automation, , Beijing 100084 , China ;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School Division of Information Science, , Shenzhen 518055 , China","institution_ids":[]},{"raw_affiliation_string":"Tsinghua University Department of Automation, , Beijing 100084 , China ;","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038452997","display_name":"Xin Xu","orcid":"https://orcid.org/0000-0003-4625-5482"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Xu","raw_affiliation_strings":["Tsinghua University Department of Automation, , Beijing 100084 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University Department of Automation, , Beijing 100084 , China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004942213","display_name":"Xiu Li","orcid":"https://orcid.org/0000-0002-7860-1784"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiu Li","raw_affiliation_strings":["Tsinghua Shenzhen International Graduate School Division of Information Science, , Shenzhen 518055 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua Shenzhen International Graduate School Division of Information Science, , Shenzhen 518055 , China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039727796","display_name":"Biqing Huang","orcid":"https://orcid.org/0000-0002-5600-7055"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Biqing Huang","raw_affiliation_strings":["Tsinghua University Department of Automation, , Beijing 100084 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University Department of Automation, , Beijing 100084 , China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5039727796"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":1.3798,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.78794843,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"24","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9976999759674072,"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":0.9976999759674072,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9908999800682068,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/cluster-analysis","display_name":"Cluster analysis","score":0.723839521408081},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5982810258865356},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5853986144065857},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5632358193397522},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5621544122695923},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.5493336915969849},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5052791237831116},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46347081661224365},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.45075932145118713},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4394221901893616},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4146009087562561}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.723839521408081},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5982810258865356},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5853986144065857},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5632358193397522},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5621544122695923},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.5493336915969849},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5052791237831116},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46347081661224365},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.45075932145118713},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4394221901893616},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4146009087562561},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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:10.1115/1.4062599","is_oa":false,"landing_page_url":"https://doi.org/10.1115/1.4062599","pdf_url":null,"source":{"id":"https://openalex.org/S173178594","display_name":"Journal of Computing and Information Science in Engineering","issn_l":"1530-9827","issn":["1530-9827","1944-7078"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316053","host_organization_name":"ASM International","host_organization_lineage":["https://openalex.org/P4310316053"],"host_organization_lineage_names":["ASM International"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing and Information Science in Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12","score":0.5199999809265137}],"awards":[{"id":"https://openalex.org/G1885709847","display_name":null,"funder_award_id":"2021YFF0901304","funder_id":"https://openalex.org/F4320336026","funder_display_name":"National Key Research and Development Program of China Stem Cell and Translational Research"}],"funders":[{"id":"https://openalex.org/F4320336026","display_name":"National Key Research and Development Program of China Stem Cell and Translational Research","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W350034163","https://openalex.org/W1902027874","https://openalex.org/W1959608418","https://openalex.org/W1964671517","https://openalex.org/W1967187889","https://openalex.org/W1967879920","https://openalex.org/W2010535956","https://openalex.org/W2022621390","https://openalex.org/W2051224630","https://openalex.org/W2055873761","https://openalex.org/W2089468765","https://openalex.org/W2099741732","https://openalex.org/W2110221383","https://openalex.org/W2110787940","https://openalex.org/W2120841219","https://openalex.org/W2135479611","https://openalex.org/W2156874910","https://openalex.org/W2158863190","https://openalex.org/W2188854810","https://openalex.org/W2263083964","https://openalex.org/W2293078015","https://openalex.org/W2415594836","https://openalex.org/W2463813940","https://openalex.org/W2471161958","https://openalex.org/W2594845301","https://openalex.org/W2601486059","https://openalex.org/W2741434521","https://openalex.org/W2744067593","https://openalex.org/W2772084711","https://openalex.org/W2789923153","https://openalex.org/W2792916989","https://openalex.org/W2801761896","https://openalex.org/W2811131765","https://openalex.org/W2944676531","https://openalex.org/W2945532623","https://openalex.org/W2982196160","https://openalex.org/W3011803685","https://openalex.org/W3025986213","https://openalex.org/W3092173023","https://openalex.org/W3137613462","https://openalex.org/W3150223772","https://openalex.org/W3173407600","https://openalex.org/W3210322019","https://openalex.org/W4220866514","https://openalex.org/W4226069359","https://openalex.org/W4281758145","https://openalex.org/W4309374831","https://openalex.org/W4311852507","https://openalex.org/W4385245566","https://openalex.org/W6676538502","https://openalex.org/W6682857387","https://openalex.org/W6697139924","https://openalex.org/W6739901393","https://openalex.org/W6742671534","https://openalex.org/W6748481542","https://openalex.org/W6797282723","https://openalex.org/W6810370196","https://openalex.org/W6846831785"],"related_works":["https://openalex.org/W2181948922","https://openalex.org/W2384362569","https://openalex.org/W2804364458","https://openalex.org/W4205302943","https://openalex.org/W2119949815","https://openalex.org/W2142795561","https://openalex.org/W4298130764","https://openalex.org/W2132641928","https://openalex.org/W3155418658","https://openalex.org/W2097747115"],"abstract_inverted_index":{"Abstract":[0],"The":[1],"prediction":[2,51],"of":[3,10,18,26,68,99,116,145,159],"the":[4,15,24,31,76,82,97,107,114,117,128,132,141,146,150,155],"remaining":[5],"useful":[6],"life":[7],"(RUL)":[8],"is":[9,79],"great":[11],"significance":[12],"to":[13,22,42,65,81,85,112],"ensure":[14],"safe":[16],"operation":[17],"industrial":[19],"equipment":[20],"and":[21,35,72,95,103,131,157],"reduce":[23,96],"cost":[25],"regular":[27],"preventive":[28],"maintenance.":[29],"However,":[30],"complex":[32,100],"operating":[33,70],"conditions":[34,71,102],"various":[36],"fault":[37,73,104],"modes":[38,91,105],"make":[39],"it":[40],"difficult":[41],"extract":[43,66],"features":[44,67,84,162],"containing":[45],"more":[46],"degradation":[47],"information":[48],"with":[49,123],"existing":[50],"methods.":[52],"We":[53],"propose":[54],"a":[55],"self-supervised":[56],"learning":[57],"method":[58,137],"based":[59],"on":[60,106,127],"variational":[61],"automatic":[62],"encoder":[63],"(VAE)":[64],"data\u2019s":[69],"modes.":[74],"Then":[75],"clustering":[77,164],"algorithm":[78],"applied":[80],"extracted":[83],"divide":[86],"data":[87],"from":[88],"different":[89,93,124],"failure":[90],"into":[92],"categories":[94],"impact":[98],"working":[101],"estimation":[108],"accuracy.":[109],"In":[110,148],"order":[111],"verify":[113],"effectiveness":[115],"proposed":[118],"method,":[119],"we":[120],"conduct":[121],"experiments":[122],"network":[125],"structures":[126],"C-MAPSS":[129],"dataset,":[130],"results":[133,152],"verified":[134],"that":[135],"our":[136],"can":[138],"effectively":[139],"improve":[140],"feature":[142],"extraction":[143],"capability":[144],"model.":[147],"addition,":[149],"experimental":[151],"further":[153],"demonstrate":[154],"superiority":[156],"necessity":[158],"using":[160],"hidden":[161],"for":[163],"rather":[165],"than":[166],"raw":[167],"data.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}