{"id":"https://openalex.org/W3017630871","doi":"https://doi.org/10.1109/tie.2020.2988229","title":"A New Penalty Domain Selection Machine Enabled Transfer Learning for Gearbox Fault Recognition","display_name":"A New Penalty Domain Selection Machine Enabled Transfer Learning for Gearbox Fault Recognition","publication_year":2020,"publication_date":"2020-04-21","ids":{"openalex":"https://openalex.org/W3017630871","doi":"https://doi.org/10.1109/tie.2020.2988229","mag":"3017630871"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2020.2988229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2020.2988229","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Electronics","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/A5100608949","display_name":"Fei Shen","orcid":"https://orcid.org/0000-0002-9970-6542"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Shen","raw_affiliation_strings":["School of Instrument Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-9970-6542","affiliations":[{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065272779","display_name":"Hui Yun","orcid":"https://orcid.org/0000-0002-6907-517X"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Hui","raw_affiliation_strings":["Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-6907-517X","affiliations":[{"raw_affiliation_string":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"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, China"],"raw_orcid":"https://orcid.org/0000-0002-1250-4084","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","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":false,"raw_author_name":"Chuang Sun","raw_affiliation_strings":["School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-6616-3791","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083638473","display_name":"Jiawen Xu","orcid":"https://orcid.org/0000-0002-5398-0394"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawen Xu","raw_affiliation_strings":["School of Instrument Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-5398-0394","affiliations":[{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6808,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.89902269,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"67","issue":"10","first_page":"8743","last_page":"8754"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9965000152587891,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9837999939918518,"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/computer-science","display_name":"Computer science","score":0.6498518586158752},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6064515709877014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5691056251525879},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5506977438926697},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.47459647059440613},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4621359407901764},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.43673864006996155},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.43659716844558716},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.42206794023513794},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4151264429092407},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4138299226760864},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34815412759780884},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11405205726623535}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6498518586158752},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6064515709877014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5691056251525879},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5506977438926697},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.47459647059440613},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4621359407901764},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.43673864006996155},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.43659716844558716},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.42206794023513794},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4151264429092407},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4138299226760864},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34815412759780884},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11405205726623535},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tie.2020.2988229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2020.2988229","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G7534706022","display_name":null,"funder_award_id":"51575102","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1992707230","https://openalex.org/W2002291869","https://openalex.org/W2004039783","https://openalex.org/W2122084318","https://openalex.org/W2129779103","https://openalex.org/W2130974270","https://openalex.org/W2153635508","https://openalex.org/W2159570078","https://openalex.org/W2510761621","https://openalex.org/W2515979703","https://openalex.org/W2517756674","https://openalex.org/W2524481343","https://openalex.org/W2556013418","https://openalex.org/W2601590138","https://openalex.org/W2605346601","https://openalex.org/W2608619210","https://openalex.org/W2620691296","https://openalex.org/W2740570963","https://openalex.org/W2762355244","https://openalex.org/W2766245932","https://openalex.org/W2771083582","https://openalex.org/W2798199013","https://openalex.org/W2806755975","https://openalex.org/W2808496542","https://openalex.org/W2809744928","https://openalex.org/W2811444512","https://openalex.org/W2884552531","https://openalex.org/W2887782657","https://openalex.org/W2910510328","https://openalex.org/W2914663911","https://openalex.org/W2964344217","https://openalex.org/W6678235492"],"related_works":["https://openalex.org/W2357256365","https://openalex.org/W2348502264","https://openalex.org/W4298130764","https://openalex.org/W2365486383","https://openalex.org/W2362059367","https://openalex.org/W2804364458","https://openalex.org/W2350084742","https://openalex.org/W2901443725","https://openalex.org/W2132641928","https://openalex.org/W2357988862"],"abstract_inverted_index":{"The":[0,29],"various":[1],"structures":[2],"and":[3,49,92,141],"working":[4,90],"conditions":[5,91,108],"make":[6],"gearbox":[7],"fault":[8,50],"recognition":[9],"(GFR)":[10],"more":[11],"challenging.":[12],"This":[13],"article":[14],"presents":[15],"a":[16,115],"new":[17],"penalty":[18,58,72],"domain":[19,30,83,133],"selection":[20,31,84],"machine":[21,85],"(PDSM)":[22],"enabled":[23],"transfer":[24],"learning":[25],"for":[26,52],"GFR":[27],"study.":[28],"rules":[32],"are":[33,60,74,109],"designed":[34],"using":[35,120],"the":[36,43,56,65,70,77,99,106],"band-selective":[37],"independent":[38],"component":[39],"analysis":[40],"to":[41,62,76,87,111,114],"obtain":[42],"relation":[44],"between":[45],"different":[46,93],"sensor":[47,94],"locations":[48,95],"components":[51],"signal":[53],"separation.":[54],"Meanwhile,":[55,136],"initial":[57],"factors":[59,73],"calculated":[61],"speed":[63],"up":[64],"PDSM":[66,126],"process.":[67],"For":[68],"PDSM,":[69,105],"domain/signal":[71],"added":[75],"objective":[78],"error":[79],"function":[80],"of":[81],"original":[82],"(DSM)":[86],"adapt":[88],"varying":[89],"simultaneously.":[96],"To":[97],"solve":[98],"mixed":[100],"optimization":[101],"problem":[102],"involved":[103],"in":[104],"Karush-Kuhn-Tucker":[107],"utilized":[110],"transform":[112],"it":[113,137],"two-layer":[116],"single":[117],"problem.":[118],"Experiments":[119],"drivetrain":[121],"dynamics":[122],"simulator":[123],"prove":[124],"that":[125],"has":[127],"higher":[128],"diagnostic":[129],"accuracy":[130],"than":[131,145],"other":[132],"adaptation":[134],"models.":[135],"indicates":[138],"faster":[139],"convergence":[140],"stronger":[142],"clustering":[143],"capability":[144],"DSM.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
