{"id":"https://openalex.org/W3003575959","doi":"https://doi.org/10.1109/indin41052.2019.8972281","title":"A machine learning based quality control system for power cable manufacturing","display_name":"A machine learning based quality control system for power cable manufacturing","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W3003575959","doi":"https://doi.org/10.1109/indin41052.2019.8972281","mag":"3003575959"},"language":"en","primary_location":{"id":"doi:10.1109/indin41052.2019.8972281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin41052.2019.8972281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.aalto.fi/en/publications/78c1e0d7-71a6-4d10-805c-6744e6bcdd2d","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085521923","display_name":"Jussi Hanhirova","orcid":"https://orcid.org/0000-0002-2776-9405"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jussi Hanhirova","raw_affiliation_strings":["Aalto University,Department of Computer Science,Espoo,Finland","Department of Computer Science, Aalto University, Espoo, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalto University,Department of Computer Science,Espoo,Finland","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"Department of Computer Science, Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031796241","display_name":"Jaakko Harjuhahto","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jaakko Harjuhahto","raw_affiliation_strings":["Maillefer Extrusion Oy,Vantaa,Finland","Maillefer Extrusion Oy, Vantaa, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Maillefer Extrusion Oy,Vantaa,Finland","institution_ids":[]},{"raw_affiliation_string":"Maillefer Extrusion Oy, Vantaa, Finland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049089652","display_name":"Janne Harjuhahto","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Janne Harjuhahto","raw_affiliation_strings":["Maillefer Extrusion Oy,Vantaa,Finland","Maillefer Extrusion Oy, Vantaa, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Maillefer Extrusion Oy,Vantaa,Finland","institution_ids":[]},{"raw_affiliation_string":"Maillefer Extrusion Oy, Vantaa, Finland","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039966331","display_name":"Vesa Hirvisalo","orcid":null},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Vesa Hirvisalo","raw_affiliation_strings":["Aalto University,Department of Computer Science,Espoo,Finland","Department of Computer Science, Aalto University, Espoo, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Aalto University,Department of Computer Science,Espoo,Finland","institution_ids":["https://openalex.org/I9927081"]},{"raw_affiliation_string":"Department of Computer Science, Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8042,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.74856602,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"193","last_page":"198"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7067641019821167},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.5686109066009521},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5600547790527344},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5567020177841187},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.49586090445518494},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.4565226435661316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.390511691570282}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7067641019821167},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5686109066009521},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5600547790527344},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5567020177841187},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.49586090445518494},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.4565226435661316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.390511691570282},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/indin41052.2019.8972281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin41052.2019.8972281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","raw_type":"proceedings-article"},{"id":"pmh:oai:aaltodoc.aalto.fi:123456789/111591","is_oa":true,"landing_page_url":"https://research.aalto.fi/en/publications/78c1e0d7-71a6-4d10-805c-6744e6bcdd2d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401663","display_name":"Aaltodoc (Aalto University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9927081","host_organization_name":"Aalto University","host_organization_lineage":["https://openalex.org/I9927081"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:aaltodoc.aalto.fi:123456789/111591","is_oa":true,"landing_page_url":"https://research.aalto.fi/en/publications/78c1e0d7-71a6-4d10-805c-6744e6bcdd2d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401663","display_name":"Aaltodoc (Aalto University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9927081","host_organization_name":"Aalto University","host_organization_lineage":["https://openalex.org/I9927081"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2026894011","https://openalex.org/W2183341477","https://openalex.org/W2185889666","https://openalex.org/W2194775991","https://openalex.org/W2395579298","https://openalex.org/W2604319603","https://openalex.org/W2612445135","https://openalex.org/W2767346351","https://openalex.org/W2892341857","https://openalex.org/W2919115771"],"related_works":["https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4239306820","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W2947043951","https://openalex.org/W4399188509","https://openalex.org/W2318112981","https://openalex.org/W4210874298"],"abstract_inverted_index":{"We":[0],"study":[1],"methods":[2,40,64],"for":[3,17,111],"observing":[4],"physical":[5],"defects":[6,23,116],"on":[7,35],"the":[8,78,86,112],"surface":[9,22,69,79,115,127],"of":[10,80,114,125],"power":[11,18,30,67],"cables.":[12],"Quality":[13],"control":[14],"is":[15],"essential":[16],"cable":[19,31,68,82,126],"manufacturing":[20,32],"and":[21,53,98,102],"are":[24,109],"an":[25],"important":[26],"quality":[27],"factor.":[28],"Traditionally":[29],"has":[33],"relied":[34],"manual":[36],"inspection":[37],"as":[38,117],"automated":[39],"have":[41,51,90],"not":[42],"been":[43],"sufficient":[44],"to":[45,65,76,105],"be":[46,120],"used":[47],"in":[48],"industrial":[49],"production.We":[50],"designed":[52],"implemented":[54],"a":[55,81],"novel":[56],"defect":[57],"detection":[58,113],"system":[59,72],"that":[60],"applies":[61],"machine":[62,87],"learning":[63],"detect":[66],"defects.":[70],"Our":[71],"uses":[73],"laser":[74],"scanning":[75],"map":[77],"during":[83],"production.":[84],"For":[85],"learning,":[88],"we":[89],"evaluated":[91],"different":[92],"CNN":[93],"(Convolutional":[94],"Neural":[95],"Network)":[96],"architectures":[97],"studied":[99],"their":[100],"performance":[101],"accuracy.":[103],"According":[104],"our":[106],"results,":[107],"CNNs":[108],"suitable":[110],"they":[118],"can":[119],"trained":[121],"with":[122],"large":[123],"amounts":[124],"data.":[128]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
