{"id":"https://openalex.org/W2900529838","doi":"https://doi.org/10.1109/tii.2018.2881543","title":"Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing","display_name":"Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing","publication_year":2018,"publication_date":"2018-11-20","ids":{"openalex":"https://openalex.org/W2900529838","doi":"https://doi.org/10.1109/tii.2018.2881543","mag":"2900529838"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2018.2881543","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2018.2881543","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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/A5027894205","display_name":"Chuang Sun","orcid":"https://orcid.org/0000-0001-6616-3791"},"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":true,"raw_author_name":"Chuang Sun","raw_affiliation_strings":["School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100762318","display_name":"Meng Ma","orcid":"https://orcid.org/0000-0003-2637-2788"},"institutions":[{"id":"https://openalex.org/I133738476","display_name":"University of Massachusetts Lowell","ror":"https://ror.org/03hamhx47","country_code":"US","type":"education","lineage":["https://openalex.org/I133738476"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Meng Ma","raw_affiliation_strings":["Department of Mechanical Engineering, University of Massachusetts Lowell, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Massachusetts Lowell, MA, USA","institution_ids":["https://openalex.org/I133738476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081020964","display_name":"Zhibin Zhao","orcid":"https://orcid.org/0000-0003-4180-7137"},"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":"Zhibin Zhao","raw_affiliation_strings":["School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0003-4180-7137","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100723422","display_name":"Shaohua Tian","orcid":"https://orcid.org/0000-0002-5896-4393"},"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":"Shaohua Tian","raw_affiliation_strings":["School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011148961","display_name":"Ruqiang Yan","orcid":"https://orcid.org/0000-0002-1250-4084"},"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":"Ruqiang Yan","raw_affiliation_strings":["School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100779843","display_name":"Xuefeng Chen","orcid":"https://orcid.org/0000-0002-0130-3172"},"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":"Xuefeng Chen","raw_affiliation_strings":["School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China"],"raw_orcid":"https://orcid.org/0000-0002-0130-3172","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5027894205"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":31.7778,"has_fulltext":false,"cited_by_count":523,"citation_normalized_percentile":{"value":0.99922488,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"15","issue":"4","first_page":"2416","last_page":"2425"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":0.9987000226974487,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9975000023841858,"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"}},{"id":"https://openalex.org/T10834","display_name":"Welding Techniques and Residual Stresses","score":0.9966999888420105,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8655321598052979},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7478113174438477},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7394542098045349},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6031408905982971},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5985633730888367},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5743192434310913},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5686190724372864},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5278815031051636},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.46256741881370544},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4505959451198578},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4292307496070862},{"id":"https://openalex.org/keywords/transfer-function","display_name":"Transfer function","score":0.41042184829711914},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4094778895378113},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.347557008266449},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.318857878446579}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8655321598052979},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7478113174438477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7394542098045349},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6031408905982971},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5985633730888367},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5743192434310913},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5686190724372864},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5278815031051636},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.46256741881370544},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4505959451198578},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4292307496070862},{"id":"https://openalex.org/C81299745","wikidata":"https://www.wikidata.org/wiki/Q334269","display_name":"Transfer function","level":2,"score":0.41042184829711914},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4094778895378113},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.347557008266449},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.318857878446579},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2018.2881543","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2018.2881543","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G1707903460","display_name":null,"funder_award_id":"51705398","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6471001617","display_name":null,"funder_award_id":"51835009","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7002519792","display_name":null,"funder_award_id":"2017M613117","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1952294081","https://openalex.org/W1963812579","https://openalex.org/W2005523062","https://openalex.org/W2035009350","https://openalex.org/W2044309218","https://openalex.org/W2045956898","https://openalex.org/W2056625397","https://openalex.org/W2069262928","https://openalex.org/W2077469820","https://openalex.org/W2098729161","https://openalex.org/W2114106396","https://openalex.org/W2152074354","https://openalex.org/W2163922914","https://openalex.org/W2171023023","https://openalex.org/W2219903032","https://openalex.org/W2274970095","https://openalex.org/W2287029277","https://openalex.org/W2287972354","https://openalex.org/W2295194438","https://openalex.org/W2319025975","https://openalex.org/W2462273353","https://openalex.org/W2512103113","https://openalex.org/W2549972263","https://openalex.org/W2566212543","https://openalex.org/W2586187438","https://openalex.org/W2590288147","https://openalex.org/W2595657631","https://openalex.org/W2601486059","https://openalex.org/W2603304445","https://openalex.org/W2606754133","https://openalex.org/W2726451741","https://openalex.org/W2737897717","https://openalex.org/W2740570963","https://openalex.org/W2741768983","https://openalex.org/W2746111230","https://openalex.org/W2762355244","https://openalex.org/W2763583057","https://openalex.org/W2765317657","https://openalex.org/W2766406195","https://openalex.org/W2768108646","https://openalex.org/W2769319337","https://openalex.org/W2781122281","https://openalex.org/W2782812883","https://openalex.org/W2783074568","https://openalex.org/W2789263499","https://openalex.org/W2789811186","https://openalex.org/W2799972844","https://openalex.org/W2808622270","https://openalex.org/W2809744928","https://openalex.org/W2809817009","https://openalex.org/W2887782657","https://openalex.org/W2889809771","https://openalex.org/W6664349155","https://openalex.org/W6733165947","https://openalex.org/W6745500298"],"related_works":["https://openalex.org/W2669956259","https://openalex.org/W4249005693","https://openalex.org/W4392946183","https://openalex.org/W3088732000","https://openalex.org/W4206357785","https://openalex.org/W4281381188","https://openalex.org/W3192840557","https://openalex.org/W2951211570","https://openalex.org/W4375928479","https://openalex.org/W3167935049"],"abstract_inverted_index":{"Deep":[0],"learning":[1,6,46,68],"with":[2,163,193],"ability":[3],"to":[4,21,77,86,122,131,147,180],"feature":[5],"and":[7,72,119],"nonlinear":[8],"function":[9],"approximation":[10],"has":[11],"shown":[12],"its":[13],"effectiveness":[14,149],"for":[15,31,101,113,186,202],"machine":[16],"fault":[17],"prediction.":[18,133,189,204],"While,":[19],"how":[20],"transfer":[22,45,61,67,78,111],"a":[23,34,43,87,167,181],"deep":[24,44,110],"network":[25,48,112,156,176],"trained":[26,81,159,175],"by":[27,82,109,160],"historical":[28,83,125],"failure":[29,84,126],"data":[30,85,162],"prediction":[32,93,141,191],"of":[33,69,94,124,142,150,166,198],"new":[35,88,96,115,182],"object":[36,97,116],"is":[37,54,103,129,145,157,177],"rarely":[38],"researched.":[39],"In":[40,56],"this":[41],"paper,":[42],"(DTL)":[47],"based":[49],"on":[50,136],"sparse":[51],"autoencoder":[52],"(SAE)":[53],"presented.":[55],"the":[57,95,106,114,151,199],"DTL":[58,152,200],"method,":[59],"three":[60],"strategies,":[62,92],"that":[63,123],"is,":[64],"weight":[65,73],"transfer,":[66],"hidden":[70],"feature,":[71],"update,":[74],"are":[75],"used":[76],"an":[79,171],"SAE":[80,155],"object.":[89],"By":[90],"these":[91],"without":[98],"supervised":[99],"information":[100,165],"training":[102],"achieved.":[104],"Moreover,":[105],"learned":[107],"features":[108],"share":[117],"joint":[118],"similar":[120],"characteristic":[121],"data,":[127],"which":[128],"beneficial":[130],"accurate":[132],"Case":[134],"study":[135],"remaining":[137],"useful":[138],"life":[139],"(RUL)":[140],"cutting":[143,168],"tool":[144,169,183],"performed":[146],"validate":[148],"method.":[153],"An":[154],"first":[158],"run-to-failure":[161],"RUL":[164,188,203],"in":[170],"off-line":[172],"process.":[173],"The":[174,190],"then":[178],"transferred":[179],"under":[184],"operation":[185],"on-line":[187],"result":[192],"high":[194],"accuracy":[195],"shows":[196],"advantage":[197],"method":[201]},"counts_by_year":[{"year":2026,"cited_by_count":14},{"year":2025,"cited_by_count":64},{"year":2024,"cited_by_count":81},{"year":2023,"cited_by_count":85},{"year":2022,"cited_by_count":93},{"year":2021,"cited_by_count":98},{"year":2020,"cited_by_count":66},{"year":2019,"cited_by_count":22}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}