{"id":"https://openalex.org/W4415145704","doi":"https://doi.org/10.3390/e27101063","title":"Dynamic MAML with Efficient Multi-Scale Attention for Cross-Load Few-Shot Bearing Fault Diagnosis","display_name":"Dynamic MAML with Efficient Multi-Scale Attention for Cross-Load Few-Shot Bearing Fault Diagnosis","publication_year":2025,"publication_date":"2025-10-14","ids":{"openalex":"https://openalex.org/W4415145704","doi":"https://doi.org/10.3390/e27101063","pmid":"https://pubmed.ncbi.nlm.nih.gov/41149022"},"language":"en","primary_location":{"id":"doi:10.3390/e27101063","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e27101063","pdf_url":null,"source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/e27101063","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103213320","display_name":"Qinglei Zhang","orcid":"https://orcid.org/0000-0003-0797-7423"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinglei Zhang","raw_affiliation_strings":["China Institute of FTZ Supply Chain, Shanghai Maritime University, Shanghai 201306, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Institute of FTZ Supply Chain, Shanghai Maritime University, Shanghai 201306, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103088136","display_name":"Yifan Zhang","orcid":"https://orcid.org/0000-0003-2032-2384"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Zhang","raw_affiliation_strings":["China Institute of FTZ Supply Chain, Shanghai Maritime University, Shanghai 201306, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Institute of FTZ Supply Chain, Shanghai Maritime University, Shanghai 201306, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107838728","display_name":"Jiyun Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiyun Qin","raw_affiliation_strings":["China Institute of FTZ Supply Chain, Shanghai Maritime University, Shanghai 201306, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Institute of FTZ Supply Chain, Shanghai Maritime University, Shanghai 201306, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014920697","display_name":"Jianguo Duan","orcid":"https://orcid.org/0000-0003-1548-4637"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianguo Duan","raw_affiliation_strings":["China Institute of FTZ Supply Chain, Shanghai Maritime University, Shanghai 201306, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Institute of FTZ Supply Chain, Shanghai Maritime University, Shanghai 201306, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004939305","display_name":"Ying Zhou","orcid":"https://orcid.org/0000-0003-3577-4527"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying Zhou","raw_affiliation_strings":["China Institute of FTZ Supply Chain, Shanghai Maritime University, Shanghai 201306, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Institute of FTZ Supply Chain, Shanghai Maritime University, Shanghai 201306, China","institution_ids":["https://openalex.org/I96733725"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5004939305"],"corresponding_institution_ids":["https://openalex.org/I96733725"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":1.9517,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.88242139,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"27","issue":"10","first_page":"1063","last_page":"1063"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9940000176429749,"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":0.9901000261306763,"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/robustness","display_name":"Robustness (evolution)","score":0.6883999705314636},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.4927000105381012},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4498000144958496},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.44369998574256897},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4138000011444092},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.39309999346733093},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.36800000071525574},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.36570000648498535},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.36239999532699585}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7997999787330627},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6883999705314636},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.4927000105381012},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4810999929904938},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4498000144958496},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.44369998574256897},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4359000027179718},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4138000011444092},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.39309999346733093},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3792000114917755},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.36800000071525574},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.36570000648498535},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.36239999532699585},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3479999899864197},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3368000090122223},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.3327000141143799},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.32600000500679016},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.31610000133514404},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.3158000111579895},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C63540848","wikidata":"https://www.wikidata.org/wiki/Q3140932","display_name":"Fault tolerance","level":2,"score":0.3027999997138977},{"id":"https://openalex.org/C2775846686","wikidata":"https://www.wikidata.org/wiki/Q643012","display_name":"Condition monitoring","level":2,"score":0.2858000099658966},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2842000126838684},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C2776365744","wikidata":"https://www.wikidata.org/wiki/Q5438149","display_name":"Fault Simulator","level":5,"score":0.26109999418258667},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.2538999915122986}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/e27101063","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e27101063","pdf_url":null,"source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"Entropy","raw_type":"journal-article"},{"id":"pmid:41149022","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41149022","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,"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":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:ff266174f23f4b76a9bc03fed5129532","is_oa":true,"landing_page_url":"https://doaj.org/article/ff266174f23f4b76a9bc03fed5129532","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,"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":"Entropy, Vol 27, Iss 10, p 1063 (2025)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:11371340","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12562962","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e27101063","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e27101063","pdf_url":null,"source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1804462556","https://openalex.org/W2541118606","https://openalex.org/W2783380896","https://openalex.org/W2884585870","https://openalex.org/W2948817525","https://openalex.org/W3021827168","https://openalex.org/W3022604663","https://openalex.org/W3036719040","https://openalex.org/W3044376627","https://openalex.org/W3092053846","https://openalex.org/W3114246289","https://openalex.org/W3126446664","https://openalex.org/W3126883438","https://openalex.org/W3139302692","https://openalex.org/W3154934604","https://openalex.org/W3209453546","https://openalex.org/W3209651137","https://openalex.org/W4200049650","https://openalex.org/W4211058054","https://openalex.org/W4285245107","https://openalex.org/W4285678828","https://openalex.org/W4307567853","https://openalex.org/W4366378735","https://openalex.org/W4372347372","https://openalex.org/W4376955626","https://openalex.org/W4377014026","https://openalex.org/W4379928303","https://openalex.org/W4386193242","https://openalex.org/W4387861048","https://openalex.org/W4391616987","https://openalex.org/W4392693960","https://openalex.org/W4393965267","https://openalex.org/W4396553706","https://openalex.org/W4401148311","https://openalex.org/W4402526753","https://openalex.org/W4403074717","https://openalex.org/W4404770618","https://openalex.org/W4404873642","https://openalex.org/W4405638257","https://openalex.org/W4406783854","https://openalex.org/W4409287911","https://openalex.org/W4409350408"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"bearing":[1,64,125],"fault":[2,65,84],"diagnosis":[3,66],"under":[4,93,128],"various":[5],"operational":[6],"conditions":[7],"presents":[8],"significant":[9],"challenges,":[10],"mainly":[11],"due":[12],"to":[13,51,56,80,112,140,145],"the":[14,21,53,101,123,161,165,169],"limited":[15],"availability":[16],"of":[17,164],"labeled":[18],"data":[19,95],"and":[20,58,115,142,148,155,168],"domain":[22,117],"mismatches":[23],"across":[24,67],"different":[25,68],"operating":[26],"environments.":[27],"In":[28],"this":[29],"study,":[30],"an":[31],"adaptive":[32],"meta-learning":[33,43,147],"framework":[34],"(AdaMETA)":[35],"is":[36,78],"proposed,":[37],"which":[38],"combines":[39],"dynamic":[40,170],"task-aware":[41],"model-independent":[42],"(DT-MAML)":[44],"with":[45,76],"efficient":[46,110],"multi-scale":[47,83],"attention":[48],"(EMA)":[49],"modules":[50],"enhance":[52],"model's":[54],"ability":[55],"generalize":[57],"improve":[59],"diagnostic":[60,150],"performance":[61],"in":[62],"small-sample":[63],"load":[69],"scenarios.":[70],"Specifically,":[71],"a":[72],"hierarchical":[73],"encoder":[74],"equipped":[75],"C-EMA":[77],"introduced":[79],"effectively":[81],"capture":[82],"features":[85],"from":[86],"vibration":[87],"signals,":[88],"greatly":[89],"improving":[90],"feature":[91],"extraction":[92],"constrained":[94],"conditions.":[96],"Furthermore,":[97],"DT-MAML":[98],"dynamically":[99],"adjusts":[100],"inner-loop":[102],"learning":[103,171],"rate":[104,172],"based":[105],"on":[106,122],"task":[107],"complexity,":[108],"promoting":[109],"adaptation":[111],"diverse":[113],"tasks":[114],"mitigating":[116],"bias.":[118],"Comprehensive":[119],"experimental":[120],"evaluations":[121],"CWRU":[124],"dataset,":[126],"conducted":[127],"carefully":[129],"designed":[130],"cross-domain":[131],"scenarios,":[132],"demonstrate":[133],"that":[134],"AdaMETA":[135],"achieves":[136],"superior":[137],"accuracy":[138],"(up":[139],"99.26%)":[141],"robustness":[143],"compared":[144],"traditional":[146],"classical":[149],"methods.":[151],"Additional":[152],"ablation":[153],"studies":[154],"noise":[156],"interference":[157],"experiments":[158],"further":[159],"validate":[160],"substantial":[162],"contribution":[163],"EMA":[166],"module":[167],"components.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-14T00:00:00"}