{"id":"https://openalex.org/W4391991929","doi":"https://doi.org/10.1109/tim.2024.3351257","title":"MSNCog: A Lightweight Faults Diagnosis System Based on Multiscale Transfer Model for Adaptive Infrared Perspective","display_name":"MSNCog: A Lightweight Faults Diagnosis System Based on Multiscale Transfer Model for Adaptive Infrared Perspective","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4391991929","doi":"https://doi.org/10.1109/tim.2024.3351257"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3351257","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tim.2024.3351257","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/A5058330705","display_name":"Lei Fu","orcid":"https://orcid.org/0000-0002-9907-3212"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Fu","raw_affiliation_strings":["College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, China","Taizhou Key Laboratory of Advanced Manufacturing Technology, Taizhou Institute, Zhejiang University of Technology, Taizhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9907-3212","affiliations":[{"raw_affiliation_string":"College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"Taizhou Key Laboratory of Advanced Manufacturing Technology, Taizhou Institute, Zhejiang University of Technology, Taizhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085012997","display_name":"Jianhui Ma","orcid":"https://orcid.org/0009-0001-9443-113X"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhui Ma","raw_affiliation_strings":["College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, China","Taizhou Key Laboratory of Advanced Manufacturing Technology, Taizhou Institute, Zhejiang University of Technology, Taizhou, China"],"raw_orcid":"https://orcid.org/0009-0001-9443-113X","affiliations":[{"raw_affiliation_string":"College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"Taizhou Key Laboratory of Advanced Manufacturing Technology, Taizhou Institute, Zhejiang University of Technology, Taizhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103169321","display_name":"Zhaoyue Liang","orcid":"https://orcid.org/0009-0000-9359-2145"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoyue Liang","raw_affiliation_strings":["College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, China","Taizhou Key Laboratory of Advanced Manufacturing Technology, Taizhou Institute, Zhejiang University of Technology, Taizhou, China"],"raw_orcid":"https://orcid.org/0009-0000-9359-2145","affiliations":[{"raw_affiliation_string":"College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"Taizhou Key Laboratory of Advanced Manufacturing Technology, Taizhou Institute, Zhejiang University of Technology, Taizhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027166217","display_name":"Zepeng Ma","orcid":"https://orcid.org/0000-0003-4784-2283"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zepeng Ma","raw_affiliation_strings":["College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, China","Taizhou Key Laboratory of Advanced Manufacturing Technology, Taizhou Institute, Zhejiang University of Technology, Taizhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4784-2283","affiliations":[{"raw_affiliation_string":"College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"Taizhou Key Laboratory of Advanced Manufacturing Technology, Taizhou Institute, Zhejiang University of Technology, Taizhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019232212","display_name":"Fang Xu","orcid":"https://orcid.org/0000-0002-9739-6851"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Xu","raw_affiliation_strings":["College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, China","Taizhou Key Laboratory of Advanced Manufacturing Technology, Taizhou Institute, Zhejiang University of Technology, Taizhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9739-6851","affiliations":[{"raw_affiliation_string":"College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"Taizhou Key Laboratory of Advanced Manufacturing Technology, Taizhou Institute, Zhejiang University of Technology, Taizhou, China","institution_ids":["https://openalex.org/I55712492"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5058330705"],"corresponding_institution_ids":["https://openalex.org/I55712492"],"apc_list":null,"apc_paid":null,"fwci":0.7687,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62832473,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11856","display_name":"Thermography and Photoacoustic Techniques","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T11856","display_name":"Thermography and Photoacoustic Techniques","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9660000205039978,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9642999768257141,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.714777946472168},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7073945999145508},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5961695909500122},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5549451112747192},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5427461266517639},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5258351564407349},{"id":"https://openalex.org/keywords/thermography","display_name":"Thermography","score":0.46133196353912354},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45013323426246643},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4439191520214081},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37662941217422485},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.31038281321525574},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.20780062675476074}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.714777946472168},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7073945999145508},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5961695909500122},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5549451112747192},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5427461266517639},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5258351564407349},{"id":"https://openalex.org/C2779222261","wikidata":"https://www.wikidata.org/wiki/Q624587","display_name":"Thermography","level":3,"score":0.46133196353912354},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45013323426246643},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4439191520214081},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37662941217422485},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.31038281321525574},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.20780062675476074},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2024.3351257","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/tim.2024.3351257","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":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.6399999856948853}],"awards":[{"id":"https://openalex.org/G3119883425","display_name":null,"funder_award_id":"52005442","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3372400565","display_name":null,"funder_award_id":"LY22E050014","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W2562762876","https://openalex.org/W2916091221","https://openalex.org/W2971524931","https://openalex.org/W3039216919","https://openalex.org/W3040939498","https://openalex.org/W3048957103","https://openalex.org/W3085140663","https://openalex.org/W3116250684","https://openalex.org/W3118534614","https://openalex.org/W3119366344","https://openalex.org/W3120689699","https://openalex.org/W3122126208","https://openalex.org/W3122347867","https://openalex.org/W3131671510","https://openalex.org/W3160495622","https://openalex.org/W3185727700","https://openalex.org/W3186499362","https://openalex.org/W3212045841","https://openalex.org/W3215145458","https://openalex.org/W4200192600","https://openalex.org/W4200221661","https://openalex.org/W4212932075","https://openalex.org/W4213248101","https://openalex.org/W4220797297","https://openalex.org/W4221103614","https://openalex.org/W4224331011","https://openalex.org/W4225709684","https://openalex.org/W4225949809","https://openalex.org/W4288032326","https://openalex.org/W4293145333","https://openalex.org/W4312730403","https://openalex.org/W4362683616","https://openalex.org/W4366386375","https://openalex.org/W4383112699","https://openalex.org/W4386702633"],"related_works":["https://openalex.org/W2620662450","https://openalex.org/W2069527050","https://openalex.org/W174278852","https://openalex.org/W2368607384","https://openalex.org/W2016009248","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W2964954556","https://openalex.org/W3103566983"],"abstract_inverted_index":{"The":[0],"combination":[1],"of":[2,33,49,163,170,179,189],"deep":[3,102],"learning":[4],"and":[5,26,60,63,101,116,122,141,146],"infrared":[6,52,70],"imaging":[7],"pioneered":[8],"a":[9,40,45,50,61,83,90,160],"new":[10,134],"direction":[11],"for":[12,98,112,119],"health":[13],"status":[14],"monitoring":[15],"in":[16],"rotor-bearing":[17],"systems.":[18],"However,":[19],"the":[20,31,34,106,113,126,133,168,177,186,190],"single-view":[21,147],"images,":[22],"inadequate":[23],"feature":[24,103,123],"extraction,":[25],"limited":[27],"labeled":[28],"data":[29],"restrict":[30],"precision":[32],"diagnosis":[35,46],"network.":[36],"This":[37],"article":[38],"introduces":[39],"system":[41,47],"called":[42],"MultiScaleNetCog":[43],"(MSNCog),":[44],"consisting":[48],"multiview":[51,69],"thermography":[53],"(IRT)":[54],"image":[55],"dataset":[56],"under":[57],"variable-speed":[58],"conditions":[59],"lightweight":[62,108,192],"multiscale":[64],"convolutional":[65],"network":[66],"(MCNN).":[67],"Initially,":[68],"datasets":[71,142],"are":[72],"used":[73],"to":[74,131,158],"characterize":[75],"compound":[76],"faulty":[77],"bearings":[78],"at":[79],"varying":[80],"speeds.":[81],"Subsequently,":[82],"shallow":[84,100],"perception":[85],"module":[86,94],"(SPM)":[87],"combined":[88],"with":[89,181],"multistream":[91],"dimension":[92],"reduction":[93],"(MDRM)":[95],"is":[96,110,129],"proposed":[97,111,191],"both":[99],"extraction.":[104],"Furthermore,":[105],"optimal":[107],"strategy":[109],"convolution":[114],"layer":[115,118],"classification":[117],"parameter":[120,127],"sparsity":[121],"refinement.":[124],"Finally,":[125],"transfer":[128],"introduced":[130],"recognize":[132],"defect":[135,157],"bearings.":[136],"Comparison":[137],"against":[138],"advanced":[139],"networks":[140],"(including":[143],"time\u2013frequency":[144],"images":[145],"data)":[148],"demonstrates":[149],"that":[150],"MSNCog":[151,171],"only":[152],"needs":[153],"18":[154],"samples":[155],"per":[156],"achieve":[159],"high":[161],"performance":[162],"96.92%":[164],"(281":[165],"s).":[166],"Meanwhile,":[167],"implementation":[169],"on":[172],"Raspberry":[173],"Pi":[174],"4":[175],"achieves":[176],"accuracy":[178],"95.21%":[180],"3.12":[182],"frames/s,":[183],"which":[184],"verifies":[185],"deployment":[187],"possibility":[188],"framework.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
