{"id":"https://openalex.org/W4386324809","doi":"https://doi.org/10.3390/s23177567","title":"An Intelligent Multi-Local Model Bearing Fault Diagnosis Method Using Small Sample Fusion","display_name":"An Intelligent Multi-Local Model Bearing Fault Diagnosis Method Using Small Sample Fusion","publication_year":2023,"publication_date":"2023-08-31","ids":{"openalex":"https://openalex.org/W4386324809","doi":"https://doi.org/10.3390/s23177567","pmid":"https://pubmed.ncbi.nlm.nih.gov/37688019","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/10490808"},"language":"en","primary_location":{"id":"doi:10.3390/s23177567","doi":"https://doi.org/10.3390/s23177567","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23177567","pdf_url":"https://www.mdpi.com/1424-8220/23/17/7567/pdf?version=1693481112","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/17/7567/pdf?version=1693481112","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102551040","display_name":"Xianzhang Zhou","orcid":"https://orcid.org/0009-0001-9456-7096","observed_orcids":["https://orcid.org/0009-0001-9456-7096"]},"institutions":[{"id":"https://openalex.org/I4405283584","display_name":"Chongqing Academy of Education Science","ror":"https://ror.org/01xvtsn88","country_code":"CN","type":"government","lineage":["https://openalex.org/I4405283584"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianzhang Zhou","raw_affiliation_strings":["Chongqing Academy of Education Science, Chongqing 400015, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Academy of Education Science, Chongqing 400015, China","institution_ids":["https://openalex.org/I4405283584"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058717745","display_name":"Aohan Li","orcid":"https://orcid.org/0000-0002-2385-3263","observed_orcids":["https://orcid.org/0000-0002-2385-3263","https://orcid.org/0000-0003-0618-4894"]},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Aohan Li","raw_affiliation_strings":["Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo 1828585, Japan"],"raw_orcid":"https://orcid.org/0000-0003-0618-4894","affiliations":[{"raw_affiliation_string":"Graduate School of Informatics and Engineering, The University of Electro-Communications, Tokyo 1828585, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070719868","display_name":"Guangjie Han","orcid":"https://orcid.org/0000-0002-6921-7369","observed_orcids":["https://orcid.org/0000-0002-6921-7369"]},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangjie Han","raw_affiliation_strings":["Department of Internet of Things Engineering, Hohai University, Changzhou 213022, China"],"raw_orcid":"https://orcid.org/0000-0002-6921-7369","affiliations":[{"raw_affiliation_string":"Department of Internet of Things Engineering, Hohai University, Changzhou 213022, China","institution_ids":["https://openalex.org/I163340411"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058717745"],"corresponding_institution_ids":["https://openalex.org/I20529979"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2669},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2669},"fwci":0.8722,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.67103852,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"23","issue":"17","first_page":"7567","last_page":"7567"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":1.0,"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":1.0,"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":0.0,"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/T12737","display_name":"Electrical Fault Detection and Protection","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/bearing-fault-diagnosis","display_name":"bearing fault diagnosis","score":1.0},{"id":"https://openalex.org/keywords/small-sample-learning","display_name":"small sample learning","score":0.7540000081062317},{"id":"https://openalex.org/keywords/transfer-learning","display_name":"transfer learning","score":0.7459999918937683},{"id":"https://openalex.org/keywords/bilstm","display_name":"BiLSTM","score":0.9049999713897705},{"id":"https://openalex.org/keywords/vibration-signals","display_name":"vibration signals","score":0.699999988079071},{"id":"https://openalex.org/keywords/current-signals","display_name":"current signals","score":0.8880000114440918},{"id":"https://openalex.org/keywords/feature-fusion","display_name":"feature fusion","score":0.8159999847412109},{"id":"https://openalex.org/keywords/maximum-mean-discrepancy","display_name":"maximum mean discrepancy","score":0.8799999952316284},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"domain adaptation","score":0.5429999828338623},{"id":"https://openalex.org/keywords/motor-bearings","display_name":"motor bearings","score":0.7929999828338623},{"id":"https://openalex.org/keywords/fault-classification","display_name":"fault classification","score":0.6690000295639038}],"concepts":[{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.7728120684623718},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.7065714001655579},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4976213276386261},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.49263888597488403},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.4849086403846741},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.47143474221229553},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4478583335876465},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4184058606624603},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3968645930290222},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3960537910461426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39043477177619934},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10056343674659729},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s23177567","doi":"https://doi.org/10.3390/s23177567","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23177567","pdf_url":"https://www.mdpi.com/1424-8220/23/17/7567/pdf?version=1693481112","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:10490808","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10490808","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10490808/pdf/sensors-23-07567.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmid:37688019","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37688019","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:dcf7e7b93f824a92890c4cf66733ecc5","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/dcf7e7b93f824a92890c4cf66733ecc5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 17, p 7567 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/s23177567","doi":"https://doi.org/10.3390/s23177567","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23177567","pdf_url":"https://www.mdpi.com/1424-8220/23/17/7567/pdf?version=1693481112","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","jufo-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.7207000255584717}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386324809.pdf","grobid_xml":"https://content.openalex.org/works/W4386324809.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W930928758","https://openalex.org/W1965555277","https://openalex.org/W2014526686","https://openalex.org/W2096765209","https://openalex.org/W2146950091","https://openalex.org/W2162854380","https://openalex.org/W2164943005","https://openalex.org/W2212660284","https://openalex.org/W2886755908","https://openalex.org/W2964285681","https://openalex.org/W2999414679","https://openalex.org/W3033043953","https://openalex.org/W3051917327","https://openalex.org/W3158937816","https://openalex.org/W3181179864","https://openalex.org/W3200337201","https://openalex.org/W4213290494","https://openalex.org/W4213416527","https://openalex.org/W4213436114","https://openalex.org/W4226200875","https://openalex.org/W4293219531","https://openalex.org/W4296425704","https://openalex.org/W4308001098","https://openalex.org/W4310875092","https://openalex.org/W4315574161","https://openalex.org/W4321505953","https://openalex.org/W4360994300","https://openalex.org/W4365420653","https://openalex.org/W4367043571","https://openalex.org/W4367721914","https://openalex.org/W4375928857","https://openalex.org/W4376607953","https://openalex.org/W4377235515"],"related_works":["https://openalex.org/W4315574161","https://openalex.org/W4413642631","https://openalex.org/W4206365512","https://openalex.org/W7171504336","https://openalex.org/W4406221397","https://openalex.org/W4391250717","https://openalex.org/W4321016476","https://openalex.org/W4392505031","https://openalex.org/W4401874863","https://openalex.org/W7084123528"],"abstract_inverted_index":{"It":[0],"is":[1,51,58],"essential":[2],"to":[3,8,83,138,261,285,297,308],"accurately":[4],"diagnose":[5],"bearing":[6,80,118,142,182,187],"faults":[7],"avoid":[9],"property":[10],"losses":[11],"or":[12],"casualties":[13],"in":[14,40],"the":[15,22,35,49,63,79,84,89,93,102,115,129,153,175,179,185,190,198,202,206,210,214,221,225,233,257,266,271,290,302,312],"industry":[16],"caused":[17],"by":[18,78,112,256,310],"motor":[19,38,98,149],"failures.":[20],"Recently,":[21],"methods":[23,32],"of":[24,37,48,62,72,92,95,147,213,224,270],"fault":[25,119,161,170,217,228,236,246,272,291],"diagnosis":[26,171,218,229,237,247,273,292],"for":[27,54,160],"bearings":[28],"using":[29,164,189,311],"deep":[30],"learning":[31,110],"have":[33],"improved":[34,284,296],"safety":[36],"operations":[39],"a":[41,69,108,134,167,244,286],"reliable":[42],"and":[43,88,144,156,163,184,205,231,278],"intelligent":[44],"way.":[45],"However,":[46],"most":[47],"work":[50],"mainly":[52,127],"suitable":[53],"situations":[55],"where":[56],"there":[57],"sufficient":[59],"monitoring":[60,73,86],"data":[61,74,183,188],"bearings.":[64,99],"In":[65,264],"industrial":[66,148],"systems,":[67],"only":[68],"small":[70,122,250],"amount":[71],"can":[75,253,275,282,294,305],"be":[76,254,276,283,295,306],"collected":[77],"sensors":[81],"due":[82],"harsh":[85],"conditions":[87],"short":[90],"time":[91,269,304],"signals":[94,146],"some":[96],"special":[97],"To":[100],"solve":[101],"issue":[103],"above,":[104],"this":[105],"paper":[106],"introduces":[107],"transfer":[109],"strategy":[111],"focusing":[113],"on":[114,121,197],"multi-local":[116],"model":[117,274],"based":[120,196],"sample":[123,251],"fusion.":[124],"The":[125],"algorithm":[126],"includes":[128],"following":[130],"steps:":[131],"(1)":[132],"constructing":[133],"parallel":[135],"Bi-LSTM":[136],"sub-network":[137],"extract":[139],"features":[140,159],"from":[141],"vibration":[143,155],"current":[145,157],"bearings,":[150],"serially":[151],"fusing":[152],"extracted":[154],"signal":[158],"classification,":[162],"them":[165],"as":[166],"source":[168,180,203,215,226],"domain":[169,181,204,216,227,235],"model;":[172],"(2)":[173],"measuring":[174],"distribution":[176,199],"difference":[177,193],"between":[178,201],"target":[186,207,234],"maximum":[191],"mean":[192],"algorithm;":[194],"(3)":[195],"differences":[200],"domain,":[208],"transferring":[209],"network":[211,222],"parameters":[212],"model,":[219,230],"fine-tuning":[220],"structure":[223],"obtaining":[232],"model.":[238],"A":[239],"performance":[240],"evaluation":[241],"reveals":[242],"that":[243],"higher":[245,298],"accuracy":[248,293],"under":[249],"fusion":[252],"maintained":[255],"proposed":[258,313],"method":[259],"compared":[260],"other":[262],"methods.":[263],"addition,":[265],"early":[267],"training":[268,303],"reduced,":[277],"its":[279],"generalization":[280],"ability":[281],"great":[287],"extent.":[288],"Specifically,":[289],"than":[299],"80%":[300],"while":[301],"reduced":[307],"15.3%":[309],"method.":[314]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2023-09-01T00:00:00"}
