{"id":"https://openalex.org/W4376630887","doi":"https://doi.org/10.3390/s23094485","title":"Method for Diagnosing Bearing Faults in Electromechanical Equipment Based on Improved Prototypical Networks","display_name":"Method for Diagnosing Bearing Faults in Electromechanical Equipment Based on Improved Prototypical Networks","publication_year":2023,"publication_date":"2023-05-04","ids":{"openalex":"https://openalex.org/W4376630887","doi":"https://doi.org/10.3390/s23094485","pmid":"https://pubmed.ncbi.nlm.nih.gov/37177689"},"language":"en","primary_location":{"id":"doi:10.3390/s23094485","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23094485","pdf_url":"https://www.mdpi.com/1424-8220/23/9/4485/pdf?version=1683610597","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,"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"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/9/4485/pdf?version=1683610597","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100384120","display_name":"Zilong Wang","orcid":"https://orcid.org/0009-0008-4257-1211"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210088164","display_name":"Changchun Institute of Optics, Fine Mechanics and Physics","ror":"https://ror.org/012rct222","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zilong Wang","raw_affiliation_strings":["Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China","Key Laboratory of Airborne Optical Imaging and Measurement, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China","University of Chinese Academy of Sciences, Beijing 100039, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]},{"raw_affiliation_string":"Key Laboratory of Airborne Optical Imaging and Measurement, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100039, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008884650","display_name":"Honghai Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210088164","display_name":"Changchun Institute of Optics, Fine Mechanics and Physics","ror":"https://ror.org/012rct222","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Honghai Shen","raw_affiliation_strings":["Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China","Key Laboratory of Airborne Optical Imaging and Measurement, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China","University of Chinese Academy of Sciences, Beijing 100039, China"],"raw_orcid":"https://orcid.org/0000-0002-8085-9805","affiliations":[{"raw_affiliation_string":"Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]},{"raw_affiliation_string":"Key Laboratory of Airborne Optical Imaging and Measurement, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100039, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wenzhuo Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210088164","display_name":"Changchun Institute of Optics, Fine Mechanics and Physics","ror":"https://ror.org/012rct222","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenzhuo Xiong","raw_affiliation_strings":["Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China","University of Chinese Academy of Sciences, Beijing 100039, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100039, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041213364","display_name":"Xueming Zhang","orcid":"https://orcid.org/0000-0002-4448-8760"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210088164","display_name":"Changchun Institute of Optics, Fine Mechanics and Physics","ror":"https://ror.org/012rct222","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueming Zhang","raw_affiliation_strings":["Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China","University of Chinese Academy of Sciences, Beijing 100039, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210088164"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing 100039, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020975065","display_name":"Jinghua Hou","orcid":"https://orcid.org/0009-0007-6555-4038"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinghua Hou","raw_affiliation_strings":["Jiuquan Satellite Launch Centre, Jiuquan 732750, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiuquan Satellite Launch Centre, Jiuquan 732750, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008884650"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210088164","https://openalex.org/I4210165038"],"apc_list":{"value":2600,"currency":"CHF","value_usd":3137},"apc_paid":{"value":2600,"currency":"CHF","value_usd":3137},"fwci":1.0298,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.72854776,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"23","issue":"9","first_page":"4485","last_page":"4485"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9968000054359436,"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":0.9968000054359436,"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":0.9908000230789185,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9513000249862671,"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/sample","display_name":"Sample (material)","score":0.5987968444824219},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.594283401966095},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5505906343460083},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5411137938499451},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4974997341632843},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4830254018306732},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4586411118507385},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.45611971616744995},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4555268883705139},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.4241238236427307},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.4222589433193207},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1625598967075348},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13929086923599243}],"concepts":[{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5987968444824219},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.594283401966095},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5505906343460083},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5411137938499451},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4974997341632843},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4830254018306732},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4586411118507385},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.45611971616744995},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4555268883705139},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.4241238236427307},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.4222589433193207},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1625598967075348},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13929086923599243},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s23094485","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23094485","pdf_url":"https://www.mdpi.com/1424-8220/23/9/4485/pdf?version=1683610597","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,"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":"pmid:37177689","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37177689","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":"Sensors (Basel, Switzerland)","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:10181651","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10181651","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10181651/pdf/sensors-23-04485.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,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:f16458b4328e452a9ea00f96426ef7fb","is_oa":true,"landing_page_url":"https://doaj.org/article/f16458b4328e452a9ea00f96426ef7fb","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":"Sensors, Vol 23, Iss 9, p 4485 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/9/4485/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23094485","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Sensors; Volume 23; Issue 9; Pages: 4485","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23094485","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23094485","pdf_url":"https://www.mdpi.com/1424-8220/23/9/4485/pdf?version=1683610597","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,"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":[],"awards":[{"id":"https://openalex.org/G476613047","display_name":null,"funder_award_id":"2022YFB3902300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4376630887.pdf","grobid_xml":"https://content.openalex.org/works/W4376630887.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1504644325","https://openalex.org/W1772650917","https://openalex.org/W1937731213","https://openalex.org/W2014269421","https://openalex.org/W2099635155","https://openalex.org/W2107027258","https://openalex.org/W2116870707","https://openalex.org/W2187089797","https://openalex.org/W2335534790","https://openalex.org/W2521581789","https://openalex.org/W2530887700","https://openalex.org/W2574952845","https://openalex.org/W2604763608","https://openalex.org/W2735326783","https://openalex.org/W2801396593","https://openalex.org/W2804879845","https://openalex.org/W2895829083","https://openalex.org/W2919115771","https://openalex.org/W2945244602","https://openalex.org/W2953680418","https://openalex.org/W2955058313","https://openalex.org/W2964105864","https://openalex.org/W2965141115","https://openalex.org/W3015042159","https://openalex.org/W3035143213","https://openalex.org/W3126446664","https://openalex.org/W3201873505","https://openalex.org/W4206104907","https://openalex.org/W4281747251","https://openalex.org/W4282928425","https://openalex.org/W4308971227","https://openalex.org/W4309003548","https://openalex.org/W4313116466","https://openalex.org/W4313244215","https://openalex.org/W6638039622","https://openalex.org/W6717697761","https://openalex.org/W6735236233","https://openalex.org/W6806448094","https://openalex.org/W6848175293"],"related_works":["https://openalex.org/W3093612317","https://openalex.org/W2910957091","https://openalex.org/W2391866417","https://openalex.org/W2906317684","https://openalex.org/W2175746458","https://openalex.org/W2732542196","https://openalex.org/W2391174204","https://openalex.org/W2767651786","https://openalex.org/W2760085659","https://openalex.org/W2883200793"],"abstract_inverted_index":{"Due":[0],"to":[1,35,99,152],"the":[2,8,19,45,74,88,101,112,116,133,137,164,168,190,209,212,215,220,228,235,238,243,246,265,268,288],"complexity":[3],"of":[4,22,29,48,67,91,93,115,139,167,192,196,230,245,267],"electromechanical":[5,52],"equipment":[6,53],"and":[7,142,178,199,214,225,251,259,262,273,281,298],"difficulties":[9],"in":[10,51,97,106,122,136,203],"obtaining":[11],"large-scale":[12],"health":[13,30,204],"monitoring":[14,31,205],"datasets,":[15,181],"as":[16,18,71],"well":[17,79],"long-tailed":[20],"distribution":[21,134,202],"data,":[23,206,217],"existing":[24],"methods":[25],"ignore":[26],"certain":[27],"characteristics":[28],"data.":[32],"In":[33],"order":[34,98],"solve":[36],"these":[37],"problems,":[38],"this":[39,68,186],"paper":[40,69],"proposes":[41],"a":[42,123,193,200],"method":[43],"for":[44],"fault":[46],"diagnosis":[47],"rolling":[49],"bearings":[50],"based":[54],"on":[55,80,176],"an":[56],"improved":[57,85,163,239,289],"prototypical":[58,61,75,102,236,290],"network-the":[59],"weight":[60],"networks":[62],"(WPorNet).":[63],"The":[64,104,119,144],"main":[65],"contributions":[66],"are":[70],"follows:":[72],"(1)":[73],"networks,":[76],"which":[77,161],"perform":[78],"small-sample":[81,305],"classification":[82,254,276,296,306],"tasks,":[83],"were":[84],"by":[86,129,256,278],"calculating":[87],"different":[89],"levels":[90],"influence":[92,108,120],"support":[94],"sample":[95,107,117,125,295],"distributions":[96],"achieve":[100],"calculation.":[103],"change":[105,121],"was":[109,150,183],"calculated":[110],"using":[111],"Kullback-Leibler":[113],"divergence":[114],"distribution.":[118],"specific":[124],"can":[126],"be":[127],"measured":[128],"assessing":[130],"how":[131],"much":[132],"changes":[135],"absence":[138],"that":[140,185,287],"sample;":[141],"(2)":[143],"Gramian":[145],"Angular":[146],"Field":[147],"(GAF)":[148],"algorithm":[149],"used":[151],"transform":[153],"one-dimensional":[154],"time":[155],"series":[156],"into":[157],"two-dimensional":[158],"vibration":[159],"images,":[160],"greatly":[162],"application":[165],"effect":[166],"2D":[169],"convolutional":[170],"neural":[171],"network":[172,187,240,291],"(CNN).":[173],"Through":[174],"experiments":[175],"MAFAULDA":[177],"CWRU":[179],"bearing":[180],"it":[182,207,218,226,263],"shown":[184],"effectively":[188],"solves":[189],"shortcomings":[191],"small":[194],"number":[195],"valid":[197],"samples":[198,213],"long-tail":[201],"enhances":[208,227],"dependency":[210],"between":[211],"global":[216],"improves":[219],"model's":[221],"feature":[222],"extraction":[223],"ability,":[224],"accuracy":[229,297],"model":[231,241,292],"classification.":[232],"Compared":[233],"with":[234,303],"network,":[237],"increased":[242,264],"performance":[244,266],"2-way":[247,249,252],"10-shot,":[248,270],"20-shot,":[250,272],"50-shot":[253,275],"tasks":[255,277],"5.23%,":[257],"5.74%,":[258],"4.37%,":[260],"respectively,":[261],"4-way":[269,271,274],"12.02%,":[279],"10.47%,":[280],"4.66%,":[282],"respectively.":[283],"Experimental":[284],"results":[285],"show":[286],"has":[293],"higher":[294],"stronger":[299],"anti-interference":[300],"ability":[301],"compared":[302],"traditional":[304],"models.":[307]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}