{"id":"https://openalex.org/W4386212331","doi":"https://doi.org/10.1109/tim.2023.3309363","title":"Multifeature Representation Distribution Adaptation Based on Data Fusion for Intelligent Fault Diagnosis of Planetary Gearboxes","display_name":"Multifeature Representation Distribution Adaptation Based on Data Fusion for Intelligent Fault Diagnosis of Planetary Gearboxes","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386212331","doi":"https://doi.org/10.1109/tim.2023.3309363"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3309363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3309363","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5039866702","display_name":"Songjun Han","orcid":"https://orcid.org/0000-0003-0327-179X"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songjun Han","raw_affiliation_strings":["School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0327-179X","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025855932","display_name":"Zhipeng Feng","orcid":"https://orcid.org/0000-0002-3403-4386"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhipeng Feng","raw_affiliation_strings":["School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-3403-4386","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2046,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79139138,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.9854000210762024,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9848999977111816,"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/overfitting","display_name":"Overfitting","score":0.7641822099685669},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6642041206359863},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.6440873742103577},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5930523872375488},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5801220536231995},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.562548041343689},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5292248725891113},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47932660579681396},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.45104312896728516},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.42611122131347656},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4184263050556183},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39320117235183716},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35841357707977295},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3454575538635254}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7641822099685669},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6642041206359863},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.6440873742103577},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5930523872375488},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5801220536231995},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.562548041343689},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5292248725891113},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47932660579681396},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.45104312896728516},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.42611122131347656},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4184263050556183},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39320117235183716},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35841357707977295},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3454575538635254},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2023.3309363","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3309363","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G5926781189","display_name":null,"funder_award_id":"52275080","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":34,"referenced_works":["https://openalex.org/W1595917421","https://openalex.org/W1970066309","https://openalex.org/W1985437849","https://openalex.org/W1993962865","https://openalex.org/W2028119131","https://openalex.org/W2194775991","https://openalex.org/W2738563279","https://openalex.org/W2788768841","https://openalex.org/W2798149494","https://openalex.org/W2898760173","https://openalex.org/W2946867277","https://openalex.org/W2963693396","https://openalex.org/W2964288524","https://openalex.org/W2968584961","https://openalex.org/W2998506103","https://openalex.org/W3021632667","https://openalex.org/W3025981493","https://openalex.org/W3092068739","https://openalex.org/W3113187671","https://openalex.org/W3113310630","https://openalex.org/W3113866719","https://openalex.org/W3124802259","https://openalex.org/W3138762281","https://openalex.org/W3141070438","https://openalex.org/W3160050649","https://openalex.org/W3162249403","https://openalex.org/W3165463321","https://openalex.org/W3167793354","https://openalex.org/W3193002911","https://openalex.org/W3195959685","https://openalex.org/W3201753566","https://openalex.org/W4212869741","https://openalex.org/W6683633756","https://openalex.org/W6688325169"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4281702477","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4378510483","https://openalex.org/W4309346246"],"abstract_inverted_index":{"Planetary":[0],"gearboxes":[1,70,91],"are":[2,55],"widely":[3],"used":[4],"in":[5,46,179],"many":[6],"sorts":[7],"of":[8,17,69,89,102,118,127,140,164,225],"machinery,":[9],"and":[10,42,190,222,232],"data-driven":[11,29],"intelligent":[12],"fault":[13,37,67,87,129],"diagnosis":[14,49,68,88],"is":[15,135,177,212],"one":[16],"the":[18,27,59,66,85,98,107,115,141,162,180,185,195,202,219,229],"important":[19],"development":[20],"directions":[21],"for":[22,65,84,122,157],"planetary":[23,90],"gearbox":[24],"maintenance.":[25],"However,":[26],"existing":[28],"methods":[30],"suffer":[31],"from":[32],"limitations":[33],"such":[34],"as":[35],"weak":[36,128],"information,":[38],"insufficient":[39,169],"training":[40,170,223],"data,":[41],"uneven":[43],"feature":[44,100,116,130,155,158,186,196,208],"distribution":[45,80,174,187,203],"common":[47],"industrial":[48],"scenarios.":[50],"Although":[51],"transfer":[52],"learning-based":[53],"approaches":[54],"anticipated":[56],"to":[57,151,183,206],"resolve":[58],"above":[60],"issues,":[61],"it":[62],"remains":[63],"challenging":[64],"with":[71],"small":[72],"datasets.":[73],"Thus,":[74],"we":[75],"propose":[76],"a":[77,146,173],"multi-feature":[78,147],"representation":[79,148],"adaptation":[81,204,234],"(MFRDA)":[82],"method":[83,211,227],"cross-condition":[86],"under":[92,106],"time-varying":[93],"conditions.":[94],"We":[95,144],"dimensionally":[96],"reorganize":[97],"time-frequency":[99],"matrices":[101],"multiple":[103,119,153],"sensor":[104],"signals":[105,120,134],"same":[108],"condition":[109],"during":[110],"signal":[111],"preprocessing,":[112],"thus":[113,160],"extracting":[114],"information":[117],"simultaneously":[121],"data":[123,138],"fusion.":[124],"The":[125],"issue":[126,163],"loss":[131],"within":[132],"single":[133],"addressed":[136],"by":[137,168,201],"enhancement":[139],"fault-related":[142,154],"features.":[143],"adopt":[145],"hybrid":[149,181],"structure":[150,182],"extract":[152],"representations":[156],"learning,":[159],"alleviating":[161],"network":[165,231],"overfitting":[166],"caused":[167],"data.":[171],"Moreover,":[172],"assessment":[175],"algorithm":[176],"presented":[178],"assess":[184],"between":[188],"source":[189],"target":[191],"tasks,":[192],"which":[193],"minimizes":[194],"differences":[197],"among":[198],"different":[199,207],"tasks":[200],"corresponding":[205],"representations.":[209],"This":[210],"validated":[213],"experimentally.":[214],"Analysis":[215],"results":[216],"indicate":[217],"that":[218],"diagnostic":[220],"accuracy":[221],"robustness":[224],"this":[226],"outperform":[228],"residual":[230],"other":[233],"methods.":[235]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
