{"id":"https://openalex.org/W3111635293","doi":"https://doi.org/10.1109/tim.2020.3043873","title":"A New Interpretable Learning Method for Fault Diagnosis of Rolling Bearings","display_name":"A New Interpretable Learning Method for Fault Diagnosis of Rolling Bearings","publication_year":2020,"publication_date":"2020-12-10","ids":{"openalex":"https://openalex.org/W3111635293","doi":"https://doi.org/10.1109/tim.2020.3043873","mag":"3111635293"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2020.3043873","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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5100456014","display_name":"Dan Zhang","orcid":"https://orcid.org/0000-0002-1183-2166"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Zhang","raw_affiliation_strings":["Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101868126","display_name":"Yongyi Chen","orcid":"https://orcid.org/0000-0003-4420-7145"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongyi Chen","raw_affiliation_strings":["Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068826373","display_name":"Fanghong Guo","orcid":"https://orcid.org/0000-0003-1721-266X"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanghong Guo","raw_affiliation_strings":["Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090855504","display_name":"Hamid Reza Karimi","orcid":"https://orcid.org/0000-0001-7629-3266"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Hamid Reza Karimi","raw_affiliation_strings":["Politecnico di Milano, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Milano, Milan, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389350","display_name":"Hui Dong","orcid":"https://orcid.org/0000-0002-2178-8795"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Dong","raw_affiliation_strings":["Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016704080","display_name":"Qi Xuan","orcid":"https://orcid.org/0000-0002-1042-470X"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Xuan","raw_affiliation_strings":["Zhejiang University of Technology, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University of Technology, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.071,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.794557,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis and Prognostics","score":0.9993,"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 and Prognostics","score":0.9993,"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":"Dynamics and Faults in Gear Systems","score":0.9974,"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/T13891","display_name":"Materials Engineering in Industrial Applications","score":0.9907,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/rolling-element-bearing","display_name":"Rolling-element bearing","score":0.5741157},{"id":"https://openalex.org/keywords/bearing-faults","display_name":"Bearing Faults","score":0.551398},{"id":"https://openalex.org/keywords/fault-diagnosis","display_name":"Fault Diagnosis","score":0.551237},{"id":"https://openalex.org/keywords/rotating-machinery","display_name":"Rotating Machinery","score":0.533313},{"id":"https://openalex.org/keywords/friction-welding","display_name":"Friction Welding","score":0.527413},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4693034},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.44463402}],"concepts":[{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.7613692},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.63570404},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6206807},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6092663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.60073173},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5770169},{"id":"https://openalex.org/C2780155820","wikidata":"https://www.wikidata.org/wiki/Q1335987","display_name":"Rolling-element bearing","level":3,"score":0.5741157},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5708907},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.54731685},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5385066},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.53772205},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4815643},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4758199},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4716377},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4693034},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4632562},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.44463402},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.41846693},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4181483},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08857137},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","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},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2020.3043873","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":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61903333"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"61873237"}],"datasets":[],"versions":[],"referenced_works_count":26,"referenced_works":["https://openalex.org/W125870180","https://openalex.org/W1898259180","https://openalex.org/W1974225813","https://openalex.org/W1998266257","https://openalex.org/W1998769964","https://openalex.org/W2005934359","https://openalex.org/W2007754818","https://openalex.org/W2027006788","https://openalex.org/W2063789075","https://openalex.org/W2111488376","https://openalex.org/W2125524209","https://openalex.org/W2166373338","https://openalex.org/W2359452691","https://openalex.org/W2461729787","https://openalex.org/W2603304445","https://openalex.org/W2606521772","https://openalex.org/W2749065198","https://openalex.org/W2750146274","https://openalex.org/W2754767460","https://openalex.org/W2766204698","https://openalex.org/W2768753204","https://openalex.org/W2801396593","https://openalex.org/W2887782657","https://openalex.org/W2898125729","https://openalex.org/W2902457614","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3215711820","https://openalex.org/W2772780115","https://openalex.org/W2546942002","https://openalex.org/W2541997129","https://openalex.org/W2385132419","https://openalex.org/W2373363215","https://openalex.org/W2373052636","https://openalex.org/W2369506284","https://openalex.org/W2197823216","https://openalex.org/W2137598809"],"abstract_inverted_index":{"In":[0,41,71],"modern":[1],"manufacturing":[2],"processes,":[3],"requirements":[4],"for":[5,82],"automatic":[6],"fault":[7,79,142,166,178],"diagnosis":[8,80,179],"have":[9,58],"been":[10],"growing":[11],"increasingly":[12],"as":[13,140],"it":[14],"plays":[15],"a":[16,32,76],"vitally":[17],"important":[18],"role":[19],"in":[20,35,48,157,189],"the":[21,38,44,49,90,116,126,129,133,141,146,158,164,175,190],"reliability":[22],"and":[23,60,63,95,132,162],"safety":[24],"of":[25,37,43,52,128,168],"industrial":[26,39],"facilities.":[27],"Rolling":[28],"bearing":[29,84,112,155],"systems":[30],"represent":[31],"critical":[33],"part":[34],"most":[36],"applications.":[40],"view":[42],"strong":[45],"environmental":[46],"noise":[47],"working":[50],"environment":[51],"rolling":[53,83,111,154,169],"bearing,":[54],"its":[55],"vibration":[56,113],"signals":[57],"nonstationary":[59],"nonlinear":[61],"characteristics,":[62],"those":[64,153],"features":[65,109],"are":[66,138],"difficult":[67],"to":[68,106,124,151],"be":[69],"extracted.":[70],"this":[72],"article,":[73],"we":[74],"proposed":[75,177],"new":[77],"intelligent":[78],"method":[81,180],"with":[85],"unlabeled":[86],"data":[87,156],"by":[88],"using":[89],"convolutional":[91],"neural":[92],"network":[93],"(CNN)":[94],"fuzzy":[96],"$C$":[97],"-means":[98],"(FCM)":[99],"clustering":[100],"algorithm.":[101],"CNN":[102],"is":[103,122,149],"first":[104,134],"utilized":[105],"automatically":[107],"extract":[108],"from":[110],"signals.":[114],"Then,":[115],"principal":[117,136],"component":[118],"analysis":[119],"(PCA)":[120],"technique":[121],"used":[123],"reduce":[125],"dimension":[127],"extracted":[130],"features,":[131],"two":[135],"components":[137],"selected":[139],"feature":[143,160],"vectors.":[144],"Finally,":[145],"FCM":[147],"algorithm":[148],"introduced":[150],"cluster":[152],"derived":[159],"space":[161],"identify":[163],"different":[165],"types":[167],"bearing.":[170],"The":[171],"results":[172,188],"indicate":[173],"that":[174],"newly":[176],"can":[181],"achieve":[182],"higher":[183],"accuracy":[184],"than":[185],"other":[186],"existing":[187],"literature.":[191]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3111635293","counts_by_year":[{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":11}],"updated_date":"2024-11-24T11:45:53.616828","created_date":"2020-12-21"}