{"id":"https://openalex.org/W4399253542","doi":"https://doi.org/10.1145/3656766.3656916","title":"Remaining Useful Life Prediction with Missing Data based on Knowledge Distillation","display_name":"Remaining Useful Life Prediction with Missing Data based on Knowledge Distillation","publication_year":2023,"publication_date":"2023-11-24","ids":{"openalex":"https://openalex.org/W4399253542","doi":"https://doi.org/10.1145/3656766.3656916"},"language":"en","primary_location":{"id":"doi:10.1145/3656766.3656916","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3656766.3656916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk Management","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/A5102796513","display_name":"Baoping Cheng","orcid":"https://orcid.org/0009-0002-6162-3343"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Baoping Cheng","raw_affiliation_strings":["China Mobile (Hangzhou) Information Technology Co. Ltd, China"],"raw_orcid":"https://orcid.org/0009-0002-6162-3343","affiliations":[{"raw_affiliation_string":"China Mobile (Hangzhou) Information Technology Co. Ltd, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031455982","display_name":"Kai Zhang","orcid":"https://orcid.org/0000-0001-9546-485X"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Zhang","raw_affiliation_strings":["China Mobile (Hangzhou) Information Technology Co. Ltd, China"],"raw_orcid":"https://orcid.org/0000-0001-9546-485X","affiliations":[{"raw_affiliation_string":"China Mobile (Hangzhou) Information Technology Co. Ltd, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Junjie Zhao","orcid":"https://orcid.org/0009-0004-3340-173X"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Zhao","raw_affiliation_strings":["China Mobile (Hangzhou) Information Technology Co. Ltd, China"],"raw_orcid":"https://orcid.org/0009-0004-3340-173X","affiliations":[{"raw_affiliation_string":"China Mobile (Hangzhou) Information Technology Co. Ltd, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102751310","display_name":"Sheng Wang","orcid":"https://orcid.org/0000-0001-8964-511X"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Wang","raw_affiliation_strings":["China Mobile (Hangzhou) Information Technology Co. Ltd, China"],"raw_orcid":"https://orcid.org/0000-0001-8964-511X","affiliations":[{"raw_affiliation_string":"China Mobile (Hangzhou) Information Technology Co. Ltd, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064207275","display_name":"Jiaojie Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Yuan","raw_affiliation_strings":["China Mobile (Hangzhou) Information Technology Co. Ltd, China"],"raw_orcid":"https://orcid.org/0009-0001-5701-7431","affiliations":[{"raw_affiliation_string":"China Mobile (Hangzhou) Information Technology Co. Ltd, China","institution_ids":["https://openalex.org/I180662265"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102796513"],"corresponding_institution_ids":["https://openalex.org/I180662265"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3116992,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"909","last_page":"916"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10809","display_name":"Occupational Health and Safety Research","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10809","display_name":"Occupational Health and Safety Research","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13690","display_name":"Quality and Safety in Healthcare","score":0.9750999808311462,"subfield":{"id":"https://openalex.org/subfields/3607","display_name":"Medical Laboratory Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9685999751091003,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/prognostics","display_name":"Prognostics","score":0.8929240703582764},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.8118590712547302},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.7369851469993591},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.608109176158905},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5794380307197571},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5744845271110535},{"id":"https://openalex.org/keywords/database-normalization","display_name":"Database normalization","score":0.4923757314682007},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.4708038568496704},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.4230909049510956},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42143744230270386},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.42061957716941833},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.4165801405906677},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37425142526626587},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3675391376018524},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.31807941198349},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.1875392198562622}],"concepts":[{"id":"https://openalex.org/C129364497","wikidata":"https://www.wikidata.org/wiki/Q3042561","display_name":"Prognostics","level":2,"score":0.8929240703582764},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.8118590712547302},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7369851469993591},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.608109176158905},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5794380307197571},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5744845271110535},{"id":"https://openalex.org/C162984825","wikidata":"https://www.wikidata.org/wiki/Q339072","display_name":"Database normalization","level":3,"score":0.4923757314682007},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.4708038568496704},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.4230909049510956},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42143744230270386},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.42061957716941833},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.4165801405906677},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37425142526626587},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3675391376018524},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.31807941198349},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.1875392198562622},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3656766.3656916","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3656766.3656916","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 3rd International Conference on Big Data, Artificial Intelligence and Risk Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.7699999809265137,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1533861849","https://openalex.org/W1997437882","https://openalex.org/W2110787940","https://openalex.org/W2120841219","https://openalex.org/W2346100606","https://openalex.org/W2415594836","https://openalex.org/W2471161958","https://openalex.org/W2744067593","https://openalex.org/W2767434619","https://openalex.org/W2772084711","https://openalex.org/W2803403013","https://openalex.org/W2888518795","https://openalex.org/W2965733862","https://openalex.org/W3014146531","https://openalex.org/W3037906335","https://openalex.org/W3039311102","https://openalex.org/W3048149838","https://openalex.org/W3106764507","https://openalex.org/W3106857833","https://openalex.org/W3163539034","https://openalex.org/W4200090724","https://openalex.org/W4200157346","https://openalex.org/W4200387605","https://openalex.org/W4298330376"],"related_works":["https://openalex.org/W2310476526","https://openalex.org/W3213192587","https://openalex.org/W2144291498","https://openalex.org/W2535730979","https://openalex.org/W2370073012","https://openalex.org/W4386567722","https://openalex.org/W2168646784","https://openalex.org/W2030958945","https://openalex.org/W2466930957","https://openalex.org/W4401023392"],"abstract_inverted_index":{"With":[0],"the":[1,14,20,30,37,64,91,99,105,108,121,148,151],"increasing":[2],"complexity":[3],"of":[4,16,66,101,150],"modern":[5,17,70],"industrial":[6,43],"equipment,":[7],"manual":[8],"maintenance":[9],"and":[10,22,97],"management":[11],"cannot":[12],"meet":[13],"needs":[15],"industry,":[18],"hence":[19],"Prognostics":[21],"Health":[23],"Management":[24],"(PHM)":[25],"system":[26],"is":[27,36,47,52,83,125,140],"proposed,":[28],"where":[29],"Remaining":[31],"Useful":[32],"Life":[33],"(RUL)":[34],"prediction":[35,60,68,78,123],"key":[38],"technology.":[39],"However,":[40],"in":[41,69,128],"real":[42],"applications,":[44],"values":[45],"missing":[46,81,111,155],"an":[48],"unavoidable":[49],"problem":[50],"that":[51],"not":[53],"fully":[54],"considered":[55],"by":[56],"most":[57],"existing":[58],"RUL":[59,67,77,122],"studies.":[61],"This":[62],"limits":[63],"application":[65],"industry.":[71],"In":[72],"this":[73,129],"study,":[74],"a":[75,114],"novel":[76,115],"method":[79,153],"under":[80,110,154],"data":[82],"proposed":[84,127,152],"based":[85],"on":[86,94],"knowledge":[87],"distillation.":[88],"It":[89],"trains":[90],"teacher":[92,106],"network":[93],"complete":[95],"data,":[96],"transfers":[98],"ability":[100],"feature":[102],"extraction":[103],"from":[104],"to":[107],"student":[109],"data.":[112,156],"Additionally,":[113],"loss":[116,135],"term":[117],"for":[118],"automatically":[119],"smoothing":[120],"results":[124],"also":[126,141],"work.":[130],"To":[131],"adaptively":[132],"balance":[133],"multiple":[134],"terms,":[136],"Gradient":[137],"Normalization":[138],"(GradNorm)":[139],"applied.":[142],"Extensive":[143],"experimental":[144],"studies":[145],"have":[146],"verified":[147],"effectiveness":[149]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
