{"id":"https://openalex.org/W4306246792","doi":"https://doi.org/10.1109/iecon49645.2022.9968491","title":"Mutual Dimensionless Indices and ROC Analysis in Bearing Fault Occurrence Detection","display_name":"Mutual Dimensionless Indices and ROC Analysis in Bearing Fault Occurrence Detection","publication_year":2022,"publication_date":"2022-10-17","ids":{"openalex":"https://openalex.org/W4306246792","doi":"https://doi.org/10.1109/iecon49645.2022.9968491"},"language":"en","primary_location":{"id":"doi:10.1109/iecon49645.2022.9968491","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon49645.2022.9968491","pdf_url":null,"source":{"id":"https://openalex.org/S4363607717","display_name":"IECON 2022 \u2013 48th Annual Conference of the IEEE Industrial Electronics Society","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2022 \u2013 48th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-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/A5100308657","display_name":"Hongbin Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongbin Zhu","raw_affiliation_strings":["Guangdong University of Technology,School of Automation,Guangzhou,China,510006"],"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology,School of Automation,Guangzhou,China,510006","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112873714","display_name":"Weichao Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weichao Xu","raw_affiliation_strings":["Guangdong University of Technology,School of Automation,Guangzhou,China,510006"],"affiliations":[{"raw_affiliation_string":"Guangdong University of Technology,School of Automation,Guangzhou,China,510006","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053754550","display_name":"Claude Delpha","orcid":"https://orcid.org/0000-0003-3224-8628"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Claude Delpha","raw_affiliation_strings":["Universit&#x00E9; Paris Saclay,CNRS, CentraleSupelec, Laboratoire des Signaux et Syst&#x00E8;mes UMR 8506, Plateau du Moulon,Gif sur Yvette,France"],"affiliations":[{"raw_affiliation_string":"Universit&#x00E9; Paris Saclay,CNRS, CentraleSupelec, Laboratoire des Signaux et Syst&#x00E8;mes UMR 8506, Plateau du Moulon,Gif sur Yvette,France","institution_ids":["https://openalex.org/I4210107720","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002698175","display_name":"Yanguang Wang","orcid":"https://orcid.org/0000-0002-5096-7450"},"institutions":[{"id":"https://openalex.org/I4210141264","display_name":"Shanghai Civil Aviation College","ror":"https://ror.org/03kkh3m26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210141264"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanguang Wang","raw_affiliation_strings":["Guangzhou Civil Aviation College,Guangzhou,China,510403"],"affiliations":[{"raw_affiliation_string":"Guangzhou Civil Aviation College,Guangzhou,China,510403","institution_ids":["https://openalex.org/I4210141264"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100308657"],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":0.3538,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43771486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9994000196456909,"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/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10876","display_name":"Fault Detection and Control Systems","score":0.9800000190734863,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.7933089733123779},{"id":"https://openalex.org/keywords/dimensionless-quantity","display_name":"Dimensionless quantity","score":0.7036787271499634},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.6351760029792786},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.634717583656311},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6166648864746094},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5864055752754211},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.5376265048980713},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5307139158248901},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.521003007888794},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48855718970298767},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4716602563858032},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.4571215808391571},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3639000654220581},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12894794344902039},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09264028072357178},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.06957456469535828}],"concepts":[{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.7933089733123779},{"id":"https://openalex.org/C24872484","wikidata":"https://www.wikidata.org/wiki/Q126818","display_name":"Dimensionless quantity","level":2,"score":0.7036787271499634},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.6351760029792786},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.634717583656311},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6166648864746094},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5864055752754211},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.5376265048980713},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5307139158248901},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.521003007888794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48855718970298767},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4716602563858032},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.4571215808391571},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3639000654220581},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12894794344902039},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09264028072357178},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.06957456469535828},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iecon49645.2022.9968491","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon49645.2022.9968491","pdf_url":null,"source":{"id":"https://openalex.org/S4363607717","display_name":"IECON 2022 \u2013 48th Annual Conference of the IEEE Industrial Electronics Society","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2022 \u2013 48th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03814225v1","is_oa":false,"landing_page_url":"https://centralesupelec.hal.science/hal-03814225","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"48th Annual Conference of the Industrial Electronics Society - IECON 2022","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W243674440","https://openalex.org/W1575494197","https://openalex.org/W1990534247","https://openalex.org/W2047571859","https://openalex.org/W2078663343","https://openalex.org/W2508644638","https://openalex.org/W2560403925","https://openalex.org/W2736225434","https://openalex.org/W2761138482","https://openalex.org/W2896382507","https://openalex.org/W2920024995","https://openalex.org/W2944927043","https://openalex.org/W3015688385","https://openalex.org/W3045363903","https://openalex.org/W3135501047","https://openalex.org/W3154260044","https://openalex.org/W3155955687","https://openalex.org/W3196944050","https://openalex.org/W3216114239","https://openalex.org/W4300699176","https://openalex.org/W6662270781","https://openalex.org/W6777718413"],"related_works":["https://openalex.org/W2375684291","https://openalex.org/W2354676191","https://openalex.org/W3188646203","https://openalex.org/W136674370","https://openalex.org/W2909957174","https://openalex.org/W2105527480","https://openalex.org/W2052387497","https://openalex.org/W4246278799","https://openalex.org/W2086072340","https://openalex.org/W2474947501"],"abstract_inverted_index":{"This":[0],"work":[1],"proposes":[2],"a":[3,74,121,168],"diagnosis":[4],"method":[5,39],"based":[6],"on":[7],"mutual":[8,46],"dimensionless":[9,47],"indices":[10],"(MDIs)":[11],"and":[12,87,111,131,167],"receiver":[13],"operating":[14],"characteristic":[15],"(ROC)":[16],"analysis":[17,64],"for":[18],"the":[19,32,45,56,61,70,80,83,95,100,109,112,116,128,133,141,145],"detection":[20,118],"of":[21,27,34,41,144],"rolling":[22],"bearing":[23],"faults,":[24],"which":[25],"is":[26,49,66,105,124,138,157],"great":[28],"importance":[29],"to":[30,51,68,73,126,159],"maintain":[31],"functionality":[33],"rotating":[35],"machines.":[36],"The":[37],"proposed":[38,155],"consists":[40],"five":[42,53,71],"steps.":[43],"Firstly,":[44],"technique":[48],"used":[50],"extract":[52],"MDIs":[54,72],"from":[55,140],"raw":[57],"vibration":[58],"signal.":[59],"Secondly,":[60],"principal":[62],"components":[63],"(PCA)":[65],"employed":[67],"reduce":[69],"one-dimensional":[75,96],"feature.":[76],"Thirdly,":[77],"we":[78],"obtain":[79],"areas":[81],"under":[82],"ROC":[84],"curve":[85],"(AUC)":[86],"associated":[88,113],"variances":[89,114],"using":[90],"two":[91],"sliding":[92],"windows":[93],"along":[94],"feature":[97],"sequence.":[98],"Fourthly,":[99],"potential":[101,146],"fault":[102,135,147,161],"occurring":[103,136,148,162],"time":[104,137,163],"estimated":[106],"via":[107],"comparing":[108],"AUC":[110],"with":[115,164],"corresponding":[117],"thresholds.":[119],"Finally,":[120],"parameter":[122],"K":[123],"introduced":[125],"delete":[127],"false":[129],"alarms,":[130],"then":[132],"predicting":[134],"chosen":[139],"local":[142],"extrema":[143],"times.":[149],"Experimental":[150],"results":[151],"demonstrate":[152],"that":[153],"our":[154],"approach":[156],"capable":[158],"detect":[160],"high":[165],"accuracy":[166],"low":[169],"false-positive":[170],"rate.":[171]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}
