{"id":"https://openalex.org/W4404914812","doi":"https://doi.org/10.1109/tim.2024.3509596","title":"A Lightweight Microscopic Metal Fracture Classification Method With Structure Pruning and Knowledge Distillation for Embedded Devices","display_name":"A Lightweight Microscopic Metal Fracture Classification Method With Structure Pruning and Knowledge Distillation for Embedded Devices","publication_year":2024,"publication_date":"2024-12-02","ids":{"openalex":"https://openalex.org/W4404914812","doi":"https://doi.org/10.1109/tim.2024.3509596"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3509596","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3509596","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/A5100681258","display_name":"Han Yan","orcid":"https://orcid.org/0000-0003-1777-1859"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Han Yan","raw_affiliation_strings":["School of Control Science and Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011648302","display_name":"Wei Lu","orcid":"https://orcid.org/0000-0002-5775-1222"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Lu","raw_affiliation_strings":["School of Control Science and Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060911223","display_name":"Yuhu Wu","orcid":"https://orcid.org/0000-0001-9317-1404"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhu Wu","raw_affiliation_strings":["School of Control Science and Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100681258"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":0.9439,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79819448,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9632999897003174,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9370999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/pruning","display_name":"Pruning","score":0.6869611740112305},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.5855742692947388},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5313081741333008},{"id":"https://openalex.org/keywords/fracture","display_name":"Fracture (geology)","score":0.4420523941516876},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4397543966770172},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.438416063785553},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40568578243255615},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.37663590908050537},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.2976868152618408},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.1622115969657898},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.14958572387695312}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6869611740112305},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.5855742692947388},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5313081741333008},{"id":"https://openalex.org/C43369102","wikidata":"https://www.wikidata.org/wiki/Q2307625","display_name":"Fracture (geology)","level":2,"score":0.4420523941516876},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4397543966770172},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.438416063785553},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40568578243255615},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.37663590908050537},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.2976868152618408},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.1622115969657898},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.14958572387695312},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2024.3509596","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3509596","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":[],"awards":[{"id":"https://openalex.org/G1678784280","display_name":null,"funder_award_id":"61876029","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2845745503","display_name":null,"funder_award_id":"62073056","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4320188187","display_name":null,"funder_award_id":"62473074","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7921907047","display_name":null,"funder_award_id":"2023JH2/101300207","funder_id":"https://openalex.org/F4320333337","funder_display_name":"Applied Basic Research Program of Sichuan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320333337","display_name":"Applied Basic Research Program of Sichuan Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W2068661811","https://openalex.org/W2194775991","https://openalex.org/W2739879705","https://openalex.org/W2962851801","https://openalex.org/W2962956675","https://openalex.org/W2964732160","https://openalex.org/W3034513523","https://openalex.org/W3034818206","https://openalex.org/W3038274881","https://openalex.org/W3082740509","https://openalex.org/W3104128390","https://openalex.org/W3116646121","https://openalex.org/W3180849877","https://openalex.org/W3186285864","https://openalex.org/W3193895134","https://openalex.org/W3208239273","https://openalex.org/W3214543237","https://openalex.org/W4205916115","https://openalex.org/W4213080446","https://openalex.org/W4220697527","https://openalex.org/W4225146592","https://openalex.org/W4287887296","https://openalex.org/W4312503109","https://openalex.org/W4323644242","https://openalex.org/W4361862952","https://openalex.org/W4362500790","https://openalex.org/W4366779377","https://openalex.org/W4381785334","https://openalex.org/W4383988875","https://openalex.org/W4384560313","https://openalex.org/W4386083031","https://openalex.org/W4386356689","https://openalex.org/W4386511225","https://openalex.org/W4388407698","https://openalex.org/W4390349886","https://openalex.org/W4390986547","https://openalex.org/W4393003628","https://openalex.org/W6637373629","https://openalex.org/W6637551013","https://openalex.org/W6726275242","https://openalex.org/W6737664043","https://openalex.org/W6768001205","https://openalex.org/W6779249178","https://openalex.org/W6787352875","https://openalex.org/W6789080154"],"related_works":["https://openalex.org/W2373300491","https://openalex.org/W2395294869","https://openalex.org/W2378744544","https://openalex.org/W2594301978","https://openalex.org/W2379704676","https://openalex.org/W1998810860","https://openalex.org/W4206442282","https://openalex.org/W2384505857","https://openalex.org/W2355171581","https://openalex.org/W4229439743"],"abstract_inverted_index":{"Microscopic":[0],"metal":[1],"fracture":[2],"(MF)":[3],"recognition":[4,20,172,213],"is":[5,85,106,130],"essential":[6],"for":[7,71,108,228],"modern":[8],"intelligent":[9],"fault":[10],"diagnosis.":[11],"Existing":[12],"deep":[13],"learning":[14],"(DL)":[15],"methods":[16,38,227],"have":[17],"achieved":[18],"high":[19],"performance":[21,135],"but":[22,174],"are":[23],"hard":[24],"to":[25,32,44,87,132,243],"apply":[26],"on":[27,151,240],"industrial":[28,245],"resource-limited":[29],"devices":[30,73,242],"due":[31],"being":[33],"overparameterized.":[34],"Although":[35],"model":[36],"pruning":[37,82,91,148,203],"can":[39],"handle":[40],"the":[41,59,89,109,116,134,147,152,157,163,184,188,197,210,221],"above":[42,60],"problem":[43],"some":[45],"extent,":[46],"lightweight":[47,65,137,225],"models":[48,138],"still":[49],"suffer":[50],"from":[51],"feature":[52,98],"redundancy":[53],"and":[54,97,156,187,215,238],"suboptimal":[55],"performance.":[56,179],"To":[57],"address":[58],"difficulty,":[61],"we":[62],"propose":[63],"a":[64,80,123],"microscopic":[66,229],"MF":[67,171,230],"classification":[68,231],"(LMMFC)":[69],"method":[70],"embedded":[72,241],"via":[74],"three":[75],"components":[76],"work":[77,219],"synergistically:":[78],"First,":[79],"hybrid":[81],"rule":[83],"(HPR)":[84],"designed":[86],"enhance":[88],"effective":[90],"ratio":[92],"by":[93,139],"measuring":[94],"channel":[95],"importance":[96],"similarity.":[99],"Second,":[100],"an":[101],"automatic":[102],"search":[103],"unit":[104],"(ASU)":[105],"introduced":[107],"automated":[110],"exploration":[111],"of":[112,136,143,190,223],"distance":[113],"functions":[114],"through":[115],"Gaussian":[117],"process":[118],"(GP)":[119],"surrogate-assisted":[120],"model.":[121],"Third,":[122],"progressive":[124],"knowledge":[125],"distillation":[126],"fine-tuning":[127],"(PKDFT)":[128],"strategy":[129],"given":[131],"improve":[133],"making":[140],"full":[141],"use":[142],"intermediate":[144],"information":[145],"during":[146],"process.":[149],"Experiments":[150],"MFSEM":[153],"image":[154],"dataset":[155,160],"publicly":[158],"available":[159],"show":[161],"that":[162],"proposed":[164],"LMMFC":[165],"not":[166],"only":[167],"performs":[168],"optimally":[169],"in":[170],"tasks":[173],"also":[175],"has":[176],"superior":[177],"generalization":[178],"The":[180,205],"ablation":[181],"study":[182,195,208],"verifies":[183],"parameter":[185],"sensitivity":[186],"role":[189],"each":[191],"module.":[192],"A":[193],"visualization":[194],"shows":[196],"model\u2019s":[198],"internal":[199],"changes":[200],"at":[201],"different":[202],"stages.":[204],"application":[206,246],"case":[207],"illustrates":[209],"relationship":[211],"between":[212],"results":[214],"fractographic":[216],"control.":[217],"This":[218],"demonstrates":[220],"potential":[222],"using":[224],"DL-based":[226],"tasks.":[232],"In":[233],"addition,":[234],"it":[235],"achieves":[236],"deployment":[237],"implementation":[239],"meet":[244],"demands.":[247]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}