{"id":"https://openalex.org/W4387700642","doi":"https://doi.org/10.1145/3624486.3624498","title":"Feature Estimation for Punching Tool Wear at the Edge","display_name":"Feature Estimation for Punching Tool Wear at the Edge","publication_year":2023,"publication_date":"2023-10-17","ids":{"openalex":"https://openalex.org/W4387700642","doi":"https://doi.org/10.1145/3624486.3624498"},"language":"en","primary_location":{"id":"doi:10.1145/3624486.3624498","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3624486.3624498","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3624486.3624498","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd Eclipse Security, AI, Architecture and Modelling Conference on Cloud to Edge Continuum","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3624486.3624498","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088628325","display_name":"Jukka Junttila","orcid":"https://orcid.org/0000-0002-9939-3945"},"institutions":[{"id":"https://openalex.org/I87653560","display_name":"VTT Technical Research Centre of Finland","ror":"https://ror.org/04b181w54","country_code":"FI","type":"nonprofit","lineage":["https://openalex.org/I4210089493","https://openalex.org/I87653560"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jukka Junttila","raw_affiliation_strings":["Knowledge-Driven Design, VTT Technical Research Centre of Finland, Finland"],"raw_orcid":"https://orcid.org/0000-0002-9939-3945","affiliations":[{"raw_affiliation_string":"Knowledge-Driven Design, VTT Technical Research Centre of Finland, Finland","institution_ids":["https://openalex.org/I87653560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046343745","display_name":"Kalle Raunio","orcid":"https://orcid.org/0000-0002-8764-1841"},"institutions":[{"id":"https://openalex.org/I87653560","display_name":"VTT Technical Research Centre of Finland","ror":"https://ror.org/04b181w54","country_code":"FI","type":"nonprofit","lineage":["https://openalex.org/I4210089493","https://openalex.org/I87653560"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Kalle Raunio","raw_affiliation_strings":["Knowledge-Driven Design, VTT Technical Research Centre of Finland, Finland"],"raw_orcid":"https://orcid.org/0000-0002-8764-1841","affiliations":[{"raw_affiliation_string":"Knowledge-Driven Design, VTT Technical Research Centre of Finland, Finland","institution_ids":["https://openalex.org/I87653560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079471414","display_name":"Petteri Kokkonen","orcid":"https://orcid.org/0009-0004-1334-0263"},"institutions":[{"id":"https://openalex.org/I87653560","display_name":"VTT Technical Research Centre of Finland","ror":"https://ror.org/04b181w54","country_code":"FI","type":"nonprofit","lineage":["https://openalex.org/I4210089493","https://openalex.org/I87653560"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Petteri Kokkonen","raw_affiliation_strings":["Knowledge-Driven Design, VTT Technical Research Centre of Finland, Finland"],"raw_orcid":"https://orcid.org/0009-0004-1334-0263","affiliations":[{"raw_affiliation_string":"Knowledge-Driven Design, VTT Technical Research Centre of Finland, Finland","institution_ids":["https://openalex.org/I87653560"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083117827","display_name":"Olli Saarela","orcid":"https://orcid.org/0000-0002-5890-8834"},"institutions":[{"id":"https://openalex.org/I87653560","display_name":"VTT Technical Research Centre of Finland","ror":"https://ror.org/04b181w54","country_code":"FI","type":"nonprofit","lineage":["https://openalex.org/I4210089493","https://openalex.org/I87653560"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Olli Saarela","raw_affiliation_strings":["Knowledge-Driven Design, VTT Technical Research Centre of Finland, Finland"],"raw_orcid":"https://orcid.org/0000-0002-5890-8834","affiliations":[{"raw_affiliation_string":"Knowledge-Driven Design, VTT Technical Research Centre of Finland, Finland","institution_ids":["https://openalex.org/I87653560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87653560"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13201708,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"86","last_page":"89"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9516000151634216,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9516000151634216,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11349","display_name":"Music Technology and Sound Studies","score":0.945900022983551,"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"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9441999793052673,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/punching","display_name":"Punching","score":0.905687153339386},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.639752984046936},{"id":"https://openalex.org/keywords/scrap","display_name":"Scrap","score":0.5727881193161011},{"id":"https://openalex.org/keywords/sheet-metal","display_name":"Sheet metal","score":0.5427610278129578},{"id":"https://openalex.org/keywords/aerospace","display_name":"Aerospace","score":0.5273650288581848},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5144963264465332},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5076221227645874},{"id":"https://openalex.org/keywords/automotive-industry","display_name":"Automotive industry","score":0.5011043548583984},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47099417448043823},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4677804708480835},{"id":"https://openalex.org/keywords/machining","display_name":"Machining","score":0.4648550748825073},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.45687735080718994},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.43824678659439087},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4281633496284485},{"id":"https://openalex.org/keywords/tool-wear","display_name":"Tool wear","score":0.42105984687805176},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.4188345670700073},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.41833415627479553},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28331291675567627},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.21328818798065186}],"concepts":[{"id":"https://openalex.org/C2778527123","wikidata":"https://www.wikidata.org/wiki/Q11750728","display_name":"Punching","level":2,"score":0.905687153339386},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.639752984046936},{"id":"https://openalex.org/C192097918","wikidata":"https://www.wikidata.org/wiki/Q917714","display_name":"Scrap","level":2,"score":0.5727881193161011},{"id":"https://openalex.org/C2779747408","wikidata":"https://www.wikidata.org/wiki/Q211367","display_name":"Sheet metal","level":2,"score":0.5427610278129578},{"id":"https://openalex.org/C167740415","wikidata":"https://www.wikidata.org/wiki/Q2876213","display_name":"Aerospace","level":2,"score":0.5273650288581848},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5144963264465332},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5076221227645874},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.5011043548583984},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47099417448043823},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4677804708480835},{"id":"https://openalex.org/C523214423","wikidata":"https://www.wikidata.org/wiki/Q192047","display_name":"Machining","level":2,"score":0.4648550748825073},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.45687735080718994},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.43824678659439087},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4281633496284485},{"id":"https://openalex.org/C2776450708","wikidata":"https://www.wikidata.org/wiki/Q6008734","display_name":"Tool wear","level":3,"score":0.42105984687805176},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4188345670700073},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.41833415627479553},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28331291675567627},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.21328818798065186},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3624486.3624498","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3624486.3624498","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3624486.3624498","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd Eclipse Security, AI, Architecture and Modelling Conference on Cloud to Edge Continuum","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3624486.3624498","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3624486.3624498","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3624486.3624498","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd Eclipse Security, AI, Architecture and Modelling Conference on Cloud to Edge Continuum","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.46000000834465027,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G5057481800","display_name":null,"funder_award_id":"2019-18022-IVVES","funder_id":"https://openalex.org/F4320313144","funder_display_name":"ITEA"},{"id":"https://openalex.org/G5832508968","display_name":null,"funder_award_id":"ITEA-2019-18022-IVVES","funder_id":"https://openalex.org/F4320313144","funder_display_name":"ITEA"}],"funders":[{"id":"https://openalex.org/F4320313144","display_name":"ITEA","ror":null},{"id":"https://openalex.org/F4320325600","display_name":"ITEA3","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387700642.pdf","grobid_xml":"https://content.openalex.org/works/W4387700642.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W2089885118","https://openalex.org/W2997591727","https://openalex.org/W3012919764","https://openalex.org/W3020799383","https://openalex.org/W3190461479","https://openalex.org/W3204316146","https://openalex.org/W4252096431","https://openalex.org/W4284990736","https://openalex.org/W4375858304","https://openalex.org/W6969156339"],"related_works":["https://openalex.org/W2520165268","https://openalex.org/W2386143188","https://openalex.org/W2304916313","https://openalex.org/W2016989118","https://openalex.org/W131106211","https://openalex.org/W4313162273","https://openalex.org/W2369426760","https://openalex.org/W2167616055","https://openalex.org/W1970858164","https://openalex.org/W2040018487"],"abstract_inverted_index":{"As":[0],"a":[1,10,258],"fast":[2],"and":[3,15,30,62,73,91,140,164,168,186,208,229,242],"inexpensive":[4],"machining":[5],"method":[6],"applicable":[7,188],"for":[8,88,129,134,157,179,189,205,245,260],"creating":[9],"wide":[11],"range":[12],"of":[13,36,55,66,81,94,109,120,252],"shapes":[14],"producing":[16],"large":[17,107],"batches,":[18],"sheet":[19,37],"metal":[20,38],"punching":[21,39,42,82],"is":[22,40,85,203,278],"widely":[23],"used":[24,178,271],"e.g.,":[25],"in":[26,45,142,256],"automotive,":[27],"aerospace,":[28],"electronics,":[29],"construction":[31],"industries.":[32],"A":[33,47],"significant":[34],"downside":[35],"the":[41,53,56,64,67,77,118,121,169,181,194,198,200,206,212,220,236,253,269],"tool":[43,50,83,122,135,262],"wear":[44,84,136],"use.":[46],"worn":[48],"punch":[49,261],"may":[51],"impact":[52],"quality":[54],"end":[57],"product":[58],"by":[59,74],"causing":[60],"imperfections":[61],"reduce":[63],"efficiency":[65],"manufacturing":[68],"process":[69],"through":[70],"increased":[71],"scrap":[72],"slowing":[75],"down":[76],"production.":[78],"Effective":[79],"monitoring":[80,98,263],"therefore":[86,187],"essential":[87],"an":[89,282],"efficient":[90],"cost-effective":[92],"production":[93],"high-quality":[95],"parts.":[96],"The":[97,145,215,250],"can":[99],"be":[100,126],"based":[101,148,172,218,248,280],"on":[102,149,173,219,281],"acceleration":[103,151],"measurement":[104],"which":[105],"produces":[106],"amounts":[108],"raw":[110],"data,":[111],"making":[112],"edge":[113],"processing":[114,192],"ideal":[115],"as":[116],"only":[117],"indication":[119],"condition":[123],"needs":[124],"to":[125,197,211],"sent":[127],"forward":[128],"decision":[130],"support.":[131],"Classification":[132],"models":[133,146,182],"identification":[137],"were":[138,166],"built":[139],"compared":[141,210],"this":[143],"study.":[144],"are":[147,183,223,239],"measured":[150],"data.":[152],"Two":[153],"different":[154],"open-source":[155],"methods":[156,177],"time":[158],"series":[159],"feature":[160,247],"extraction,":[161],"namely":[162],"TSFEL":[163,213,246],"MiniRocket,":[165],"tested":[167],"classification":[170,216],"results":[171,199],"them":[174],"compared.":[175],"All":[176],"building":[180,257],"computationally":[184],"light":[185],"real-time":[190],"data":[191],"at":[193,224,230],"edge.":[195],"According":[196],"MiniRocket":[201,221,254],"algorithm":[202,255],"suitable":[204],"task":[207],"superior":[209],"method.":[214],"accuracies":[217,238],"features":[222],"best":[225],"over":[226],"96.5":[227],"%":[228,244],"worst":[231],"around":[232],"84":[233],"%,":[234],"whereas":[235],"corresponding":[237],"between":[240],"35":[241],"56":[243],"models.":[249],"use":[251],"model":[259],"shows":[264],"very":[265,273],"promising":[266],"results.":[267],"However,":[268],"dataset":[270],"was":[272],"limited.":[274],"Therefore,":[275],"further":[276],"investigation":[277],"required":[279],"ampler":[283],"dataset.":[284]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
