{"id":"https://openalex.org/W4391407271","doi":"https://doi.org/10.1109/tii.2023.3345451","title":"Vaccine Enhanced Continual Learning With TFE to Overcome Catastrophic Forgetting for Variable Speed-Bearing Fault Diagnosis","display_name":"Vaccine Enhanced Continual Learning With TFE to Overcome Catastrophic Forgetting for Variable Speed-Bearing Fault Diagnosis","publication_year":2024,"publication_date":"2024-01-31","ids":{"openalex":"https://openalex.org/W4391407271","doi":"https://doi.org/10.1109/tii.2023.3345451"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2023.3345451","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2023.3345451","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/A5038306688","display_name":"Lu Wang","orcid":"https://orcid.org/0000-0002-3201-7195"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lu Wang","raw_affiliation_strings":["School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100687258","display_name":"Shulin Liu","orcid":"https://orcid.org/0000-0001-5817-8483"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shulin Liu","raw_affiliation_strings":["School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088582761","display_name":"Haihua Xiao","orcid":"https://orcid.org/0000-0001-6087-5560"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haihua Xiao","raw_affiliation_strings":["School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China","institution_ids":["https://openalex.org/I113940042"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038306688"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":null,"apc_paid":null,"fwci":3.041,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.91434571,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"20","issue":"5","first_page":"7112","last_page":"7123"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12576","display_name":"vaccines and immunoinformatics approaches","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12576","display_name":"vaccines and immunoinformatics approaches","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9645000100135803,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9624999761581421,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.9282189607620239},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6808825135231018},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6609289050102234},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6111873388290405},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.5664286613464355},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5337570309638977},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.507232666015625},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.49145281314849854},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4677481949329376},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.46547219157218933},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4454890191555023},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4389646351337433},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.42129093408584595},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3406132757663727},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.26911717653274536},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12039899826049805}],"concepts":[{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.9282189607620239},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6808825135231018},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6609289050102234},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6111873388290405},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.5664286613464355},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5337570309638977},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.507232666015625},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.49145281314849854},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4677481949329376},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.46547219157218933},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4454890191555023},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4389646351337433},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.42129093408584595},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3406132757663727},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26911717653274536},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12039899826049805},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2023.3345451","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2023.3345451","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":[],"awards":[{"id":"https://openalex.org/G1343527005","display_name":null,"funder_award_id":"52075310","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1978666516","https://openalex.org/W2013108472","https://openalex.org/W2021135079","https://openalex.org/W2056643960","https://openalex.org/W2091154605","https://openalex.org/W2560647685","https://openalex.org/W2736989556","https://openalex.org/W2754962589","https://openalex.org/W2788388592","https://openalex.org/W2883652074","https://openalex.org/W2887576641","https://openalex.org/W2890548886","https://openalex.org/W2900367617","https://openalex.org/W2963072899","https://openalex.org/W2964189064","https://openalex.org/W2965331387","https://openalex.org/W3006234923","https://openalex.org/W3021931813","https://openalex.org/W3032601877","https://openalex.org/W3110846419","https://openalex.org/W3129796452","https://openalex.org/W3133523058","https://openalex.org/W3160682685","https://openalex.org/W3190497043","https://openalex.org/W4206671026","https://openalex.org/W4213213044","https://openalex.org/W4286255975","https://openalex.org/W4288740278","https://openalex.org/W4288885878","https://openalex.org/W4297498779","https://openalex.org/W4310875092","https://openalex.org/W4312695356","https://openalex.org/W4317470252"],"related_works":["https://openalex.org/W4289718052","https://openalex.org/W2164121020","https://openalex.org/W2145559838","https://openalex.org/W2905319430","https://openalex.org/W3116498279","https://openalex.org/W4287549553","https://openalex.org/W4310285384","https://openalex.org/W3183027292","https://openalex.org/W4248896073","https://openalex.org/W2974871044"],"abstract_inverted_index":{"The":[0],"traditional":[1],"intelligent":[2],"classification":[3],"methods":[4,8],"are":[5,15,39],"batch":[6],"learning":[7,52],"that":[9,157],"assume":[10],"all":[11],"types":[12,28,36,68],"of":[13,37,58,69,77,134,148],"samples":[14],"available":[16,40],"simultaneously.":[17],"This":[18],"results":[19],"in":[20,92],"the":[21,56,62,74,78,82,97,102,107,116,126,132,136,142,158,172,180],"inability":[22],"to":[23,72,124],"learn":[24],"newly":[25],"obtained":[26],"data":[27,38,104],"incrementally.":[29],"To":[30],"deal":[31,100],"with":[32,55,101,171,189],"situations":[33],"where":[34],"new":[35,67,88,103],"sequentially":[41],"over":[42],"time,":[43],"this":[44],"article":[45],"proposes":[46],"a":[47,93],"vaccine-enhanced":[48],"artificial":[49],"immune":[50],"continual":[51],"method":[53,160],"(VECL)":[54],"function":[57],"incremental":[59],"learning\u2014inspired":[60],"by":[61,182],"vaccine":[63],"mechanism,":[64],"VECL":[65,98,137],"cultures":[66],"memory":[70],"cells":[71],"expand":[73],"recognition":[75],"range":[76],"model":[79],"and":[80,96,153,163,178,184],"improve":[81],"identification":[83],"performance.":[84],"In":[85,114],"practical":[86],"scenarios,":[87],"tasks":[89],"always":[90],"arrive":[91],"streaming":[94],"manner,":[95],"can":[99],"without":[105],"forgetting":[106,181],"previous":[108],"knowledge,":[109],"i.e.,":[110],"overcome":[111],"catastrophic":[112],"forgetting.":[113],"addition,":[115],"time-frequency-energy":[117],"feature":[118,174],"(TFE)":[119],"is":[120],"first":[121],"put":[122],"forward":[123],"represent":[125],"variable":[127,143],"bearing":[128],"fault":[129,145,167],"characteristics.":[130],"With":[131],"advantages":[133],"TFE,":[135],"achieves":[138],"high":[139],"performance":[140],"for":[141],"speed-bearing":[144],"diagnosis.":[146],"Results":[147],"investigations":[149],"on":[150,186],"simulated":[151],"signals":[152,155],"experiment":[154],"confirm":[156],"proposed":[159],"exhibits":[161],"50.43%":[162],"48.69%":[164],"average":[165,187],"higher":[166],"diagnosis":[168],"accuracy":[169],"compared":[170,188],"conventional":[173],"extraction":[175],"algorithms,":[176],"respectively,":[177],"overcomes":[179],"28.56%":[183],"42.91%":[185],"state-of-the-art":[190],"methods,":[191],"respectively.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5}],"updated_date":"2026-03-29T08:15:47.926485","created_date":"2025-10-10T00:00:00"}
