{"id":"https://openalex.org/W4214864730","doi":"https://doi.org/10.3390/s22051917","title":"Current Only-Based Fault Diagnosis Method for Industrial Robot Control Cables","display_name":"Current Only-Based Fault Diagnosis Method for Industrial Robot Control Cables","publication_year":2022,"publication_date":"2022-03-01","ids":{"openalex":"https://openalex.org/W4214864730","doi":"https://doi.org/10.3390/s22051917"},"language":"en","primary_location":{"id":"doi:10.3390/s22051917","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22051917","pdf_url":"https://www.mdpi.com/1424-8220/22/5/1917/pdf?version=1646187880","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"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/22/5/1917/pdf?version=1646187880","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070632634","display_name":"Heonkook Kim","orcid":"https://orcid.org/0000-0002-9230-4970"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Heonkook Kim","raw_affiliation_strings":["Department of Electrical Engineering, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang 37673, Korea","Hyundai Robotics Co., Ltd., 50, Techno Sunhwan-ro 3-gil, Yuga, Dalseong-gun, Daegu 43022, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang 37673, Korea","institution_ids":["https://openalex.org/I123900574"]},{"raw_affiliation_string":"Hyundai Robotics Co., Ltd., 50, Techno Sunhwan-ro 3-gil, Yuga, Dalseong-gun, Daegu 43022, Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100726310","display_name":"Ho\u2010Jin Lee","orcid":"https://orcid.org/0000-0001-8638-2000"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hojin Lee","raw_affiliation_strings":["Department of Electrical Engineering, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang 37673, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang 37673, Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100452155","display_name":"Sang Woo Kim","orcid":"https://orcid.org/0000-0001-6023-1837"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sang Woo Kim","raw_affiliation_strings":["Department of Electrical Engineering, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang 37673, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pohang University of Science and Technology, 77 Cheongam-Ro, Nam-Gu, Pohang 37673, Korea","institution_ids":["https://openalex.org/I123900574"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100452155"],"corresponding_institution_ids":["https://openalex.org/I123900574"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":1.4775,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.8102485,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"22","issue":"5","first_page":"1917","last_page":"1917"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12737","display_name":"Electrical Fault Detection and Protection","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12737","display_name":"Electrical Fault Detection and Protection","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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":0.9941999912261963,"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"}},{"id":"https://openalex.org/T11357","display_name":"Risk and Safety Analysis","score":0.982699990272522,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6072952151298523},{"id":"https://openalex.org/keywords/novelty-detection","display_name":"Novelty detection","score":0.5762266516685486},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.5211898684501648},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.4609743654727936},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.45908111333847046},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4472120404243469},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.4352424740791321},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.43136101961135864},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.4190694987773895},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.41881993412971497},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4162030816078186},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4141938388347626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41130346059799194},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3927522897720337},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.377932071685791},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3477410674095154},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3336707055568695},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.32303404808044434},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.11740630865097046},{"id":"https://openalex.org/keywords/actuator","display_name":"Actuator","score":0.10924091935157776}],"concepts":[{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6072952151298523},{"id":"https://openalex.org/C2778924833","wikidata":"https://www.wikidata.org/wiki/Q7064603","display_name":"Novelty detection","level":3,"score":0.5762266516685486},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5211898684501648},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.4609743654727936},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.45908111333847046},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4472120404243469},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.4352424740791321},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.43136101961135864},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.4190694987773895},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.41881993412971497},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4162030816078186},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4141938388347626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41130346059799194},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3927522897720337},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.377932071685791},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3477410674095154},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3336707055568695},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.32303404808044434},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11740630865097046},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.10924091935157776},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s22051917","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22051917","pdf_url":"https://www.mdpi.com/1424-8220/22/5/1917/pdf?version=1646187880","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":"pmh:oai:doaj.org/article:c15cf61ec8fb4324aaa8aff9e7998a82","is_oa":true,"landing_page_url":"https://doaj.org/article/c15cf61ec8fb4324aaa8aff9e7998a82","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 22, Iss 5, p 1917 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/5/1917/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22051917","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 22; Issue 5; Pages: 1917","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8914622","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8914622","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"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"}],"best_oa_location":{"id":"doi:10.3390/s22051917","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22051917","pdf_url":"https://www.mdpi.com/1424-8220/22/5/1917/pdf?version=1646187880","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/G1643700039","display_name":null,"funder_award_id":"2021M1A2A2043894","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G342704958","display_name":null,"funder_award_id":"funded","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4214864730.pdf","grobid_xml":"https://content.openalex.org/works/W4214864730.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1979704807","https://openalex.org/W2038869416","https://openalex.org/W2103914106","https://openalex.org/W2111641487","https://openalex.org/W2115627867","https://openalex.org/W2122646361","https://openalex.org/W2140036717","https://openalex.org/W2147818633","https://openalex.org/W2187089797","https://openalex.org/W2295577950","https://openalex.org/W2316755448","https://openalex.org/W2587187677","https://openalex.org/W2749370854","https://openalex.org/W2749700529","https://openalex.org/W2801991210","https://openalex.org/W2802955565","https://openalex.org/W2809370667","https://openalex.org/W2898744317","https://openalex.org/W2904457132","https://openalex.org/W2995944953","https://openalex.org/W2998097057","https://openalex.org/W2999132791","https://openalex.org/W3029307258","https://openalex.org/W3044129898","https://openalex.org/W3046638685","https://openalex.org/W3095946875","https://openalex.org/W3198608438","https://openalex.org/W3216886058","https://openalex.org/W6631190155","https://openalex.org/W6699156040","https://openalex.org/W6756040250"],"related_works":["https://openalex.org/W2064636555","https://openalex.org/W2585503716","https://openalex.org/W1939982668","https://openalex.org/W3186512740","https://openalex.org/W2105014086","https://openalex.org/W2076090200","https://openalex.org/W4312933423","https://openalex.org/W3025682415","https://openalex.org/W2995944953","https://openalex.org/W2081173909"],"abstract_inverted_index":{"With":[0],"the":[1,37,66,76,88,110,162,168,175,180],"growth":[2],"of":[3,80,193],"factory":[4],"automation,":[5],"deep":[6],"learning-based":[7],"methods":[8],"have":[9],"become":[10],"popular":[11],"diagnostic":[12],"tools":[13],"because":[14],"they":[15],"can":[16,128],"extract":[17],"features":[18],"automatically":[19],"and":[20,42,78,105,164,191],"diagnose":[21],"faults":[22,127,186],"under":[23,132,187],"various":[24,188],"fault":[25,38,142,160,194],"conditions.":[26],"Among":[27],"these":[28],"methods,":[29],"a":[30,47,52,113,120],"novelty":[31,53],"detection":[32],"approach":[33],"is":[34,40,100,122,138,155],"useful":[35],"if":[36],"dataset":[39],"imbalanced":[41],"impossible":[43],"reproduce":[44],"perfectly":[45],"in":[46,140,167],"laboratory.":[48],"This":[49],"study":[50],"proposes":[51],"detection-based":[54],"soft":[55,96,126,159,185],"fault-diagnosis":[56],"method":[57,137,182],"for":[58,109,146],"control":[59],"cables":[60],"using":[61],"only":[62],"currents":[63,73],"flowing":[64],"through":[65],"cables.":[67],"The":[68,135,144],"proposed":[69,136,181],"algorithm":[70],"uses":[71],"three-phase":[72],"to":[74,87,91,102,117,174],"calculate":[75,106],"sum":[77],"ratios":[79],"currents,":[81],"which":[82,125],"are":[83,149,170],"used":[84],"as":[85],"inputs":[86],"diagnosis":[89],"network":[90],"detect":[92,103],"novelties":[93,104],"caused":[94],"by":[95,124],"faults.":[97],"Autoencoder":[98],"architecture":[99],"adopted":[101],"anomaly":[107,118],"scores":[108],"inputs.":[111],"Applying":[112],"moving":[114],"average":[115],"filter":[116],"scores,":[119],"threshold":[121],"defined,":[123],"be":[129],"properly":[130],"diagnosed":[131],"environmental":[133],"disturbances.":[134],"evaluated":[139],"11":[141],"scenarios.":[143,176],"datasets":[145],"each":[147],"scenario":[148],"collected":[150],"when":[151],"an":[152],"industrial":[153],"robot":[154],"working.":[156],"To":[157],"induce":[158],"conditions,":[161],"conductor":[163],"its":[165],"insulator":[166],"cable":[169],"damaged":[171],"gradually":[172],"according":[173],"Experiments":[177],"demonstrate":[178],"that":[179],"accurately":[183],"diagnoses":[184],"operating":[189],"conditions":[190],"degrees":[192],"severity.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
