{"id":"https://openalex.org/W3160737447","doi":"https://doi.org/10.3233/jifs-210503","title":"A new bearing fault diagnosis method using elastic net transfer learning and LSTM","display_name":"A new bearing fault diagnosis method using elastic net transfer learning and LSTM","publication_year":2021,"publication_date":"2021-05-11","ids":{"openalex":"https://openalex.org/W3160737447","doi":"https://doi.org/10.3233/jifs-210503","mag":"3160737447"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-210503","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-210503","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","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/A5101883986","display_name":"Xudong Song","orcid":"https://orcid.org/0000-0002-4989-9091"},"institutions":[{"id":"https://openalex.org/I7350606","display_name":"Dalian Jiaotong University","ror":"https://ror.org/05gp45n31","country_code":"CN","type":"education","lineage":["https://openalex.org/I7350606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xudong Song","raw_affiliation_strings":["Software Institute, Dalian Jiaotong University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Software Institute, Dalian Jiaotong University, Dalian, China","institution_ids":["https://openalex.org/I7350606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070533872","display_name":"Dajie Zhu","orcid":"https://orcid.org/0000-0002-0259-9702"},"institutions":[{"id":"https://openalex.org/I7350606","display_name":"Dalian Jiaotong University","ror":"https://ror.org/05gp45n31","country_code":"CN","type":"education","lineage":["https://openalex.org/I7350606"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dajie Zhu","raw_affiliation_strings":["Software Institute, Dalian Jiaotong University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Software Institute, Dalian Jiaotong University, Dalian, China","institution_ids":["https://openalex.org/I7350606"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100612025","display_name":"Liang Pan","orcid":"https://orcid.org/0000-0003-1821-4296"},"institutions":[{"id":"https://openalex.org/I7350606","display_name":"Dalian Jiaotong University","ror":"https://ror.org/05gp45n31","country_code":"CN","type":"education","lineage":["https://openalex.org/I7350606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Liang","raw_affiliation_strings":["Software Institute, Dalian Jiaotong University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Software Institute, Dalian Jiaotong University, Dalian, China","institution_ids":["https://openalex.org/I7350606"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102027598","display_name":"An Lu","orcid":"https://orcid.org/0000-0002-6714-6552"},"institutions":[{"id":"https://openalex.org/I7350606","display_name":"Dalian Jiaotong University","ror":"https://ror.org/05gp45n31","country_code":"CN","type":"education","lineage":["https://openalex.org/I7350606"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu An","raw_affiliation_strings":["Software Institute, Dalian Jiaotong University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Software Institute, Dalian Jiaotong University, Dalian, China","institution_ids":["https://openalex.org/I7350606"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070533872"],"corresponding_institution_ids":["https://openalex.org/I7350606"],"apc_list":null,"apc_paid":null,"fwci":2.06,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.86642783,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"40","issue":"6","first_page":"12361","last_page":"12369"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9958999752998352,"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":0.9958999752998352,"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":0.9731000065803528,"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":0.9442999958992004,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7909620404243469},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7243684530258179},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.718437910079956},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6219266653060913},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6094796657562256},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4990212917327881},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.4676859974861145},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3750358819961548},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3500261902809143},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3263714909553528},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10738435387611389}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7909620404243469},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7243684530258179},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.718437910079956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6219266653060913},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6094796657562256},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4990212917327881},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.4676859974861145},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3750358819961548},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3500261902809143},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3263714909553528},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10738435387611389},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-210503","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-210503","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1454493499","https://openalex.org/W2053741029","https://openalex.org/W2076063813","https://openalex.org/W2485614840","https://openalex.org/W2584994008","https://openalex.org/W2623173292","https://openalex.org/W2731372149","https://openalex.org/W2763583057","https://openalex.org/W2765317657","https://openalex.org/W2770456481","https://openalex.org/W2887782657","https://openalex.org/W2922660557","https://openalex.org/W2981982720","https://openalex.org/W2984201918","https://openalex.org/W3005050847","https://openalex.org/W3015173390","https://openalex.org/W3037670321","https://openalex.org/W3084404279","https://openalex.org/W6761016670","https://openalex.org/W6773842479","https://openalex.org/W6775402295","https://openalex.org/W6780089284"],"related_works":["https://openalex.org/W4206357785","https://openalex.org/W3192840557","https://openalex.org/W4281381188","https://openalex.org/W2951211570","https://openalex.org/W3167935049","https://openalex.org/W3023427754","https://openalex.org/W4375928479","https://openalex.org/W3131673289","https://openalex.org/W2575656761","https://openalex.org/W2065631063"],"abstract_inverted_index":{"Although":[0],"the":[1,29,40,78,83,87,90,99,116,120,167,179,182],"existing":[2],"transfer":[3,59,72,134],"learning":[4,9,60,73,135,147],"method":[5,53,169],"based":[6,54,129],"on":[7,55,130],"deep":[8,146],"can":[10],"realize":[11],"bearing":[12,25],"fault":[13,26,33,47,51,100,121,148],"diagnosis":[14,34,48,52,101,122,149],"under":[15,61,124],"variable":[16,62,125],"load":[17,63,126],"working":[18,64,127],"conditions,":[19],"it":[20,164],"is":[21,36,66,74,95,111,136],"difficult":[22],"to":[23,39,76,97,113],"obtain":[24],"data":[27,31,110],"and":[28,43,81,89,142,162,173],"training":[30,84],"of":[32,46,86,107,181],"model":[35,117,123,140],"insufficient\u00a3\u00acwhich":[37],"leads":[38],"low":[41],"accuracy":[42,172],"generalization":[44,175],"ability":[45],"model,":[49,88,102],"A":[50],"improved":[56,69,131],"elastic":[57,70,132],"net":[58,71,133],"conditions":[65,128],"proposed.":[67],"The":[68],"used":[75,112],"suppress":[77],"over":[79],"fitting":[80],"improve":[82],"efficiency":[85],"long":[91,153],"short-term":[92,154],"memory":[93,155],"network":[94,156],"introduced":[96],"train":[98],"then":[103],"a":[104],"small":[105],"amount":[106],"target":[108],"domain":[109],"fine":[114],"tune":[115],"parameters.":[118],"Finally,":[119,138],"constructed.":[137],"through":[139],"experiments":[141],"comparison":[143],"with":[144],"conventional":[145],"models":[150],"such":[151],"as":[152],"(LSTM),":[157],"gated":[158],"recurrent":[159],"unit":[160],"(GRU)":[161],"Bi-LSTM,":[163],"shows":[165],"that":[166],"proposed":[168],"has":[170],"higher":[171],"better":[174],"ability,":[176],"which":[177],"verifies":[178],"effectiveness":[180],"method.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}