{"id":"https://openalex.org/W4220810804","doi":"https://doi.org/10.1109/tim.2022.3161705","title":"An Integrated Method for Bearing State Change Identification and Prognostics Based on Improved Relevance Vector Machine and Degradation Model","display_name":"An Integrated Method for Bearing State Change Identification and Prognostics Based on Improved Relevance Vector Machine and Degradation Model","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4220810804","doi":"https://doi.org/10.1109/tim.2022.3161705"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2022.3161705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3161705","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5068541324","display_name":"Wei Guo","orcid":"https://orcid.org/0000-0001-8360-179X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Guo","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Sichuan, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-8360-179X","affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Sichuan, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079314253","display_name":"Mao He","orcid":"https://orcid.org/0000-0002-0831-8764"},"institutions":[{"id":"https://openalex.org/I4210157972","display_name":"Chongqing Municipal Government","ror":"https://ror.org/05ct91r78","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210157972"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mao He","raw_affiliation_strings":["Bachuan Sub-District Office, Tongliang District, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-0831-8764","affiliations":[{"raw_affiliation_string":"Bachuan Sub-District Office, Tongliang District, Chongqing, China","institution_ids":["https://openalex.org/I4210157972"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5068541324"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":3.0377,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.91205861,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"71","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9868999719619751,"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/prognostics","display_name":"Prognostics","score":0.966937780380249},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6199827790260315},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.5354573726654053},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.53414386510849},{"id":"https://openalex.org/keywords/monotonic-function","display_name":"Monotonic function","score":0.5322808027267456},{"id":"https://openalex.org/keywords/relevance-vector-machine","display_name":"Relevance vector machine","score":0.5273951888084412},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5087898373603821},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.4677479565143585},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46647199988365173},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.44131746888160706},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42026543617248535},{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.41306576132774353},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.390700101852417},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3902568221092224},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3575732409954071},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29657429456710815}],"concepts":[{"id":"https://openalex.org/C129364497","wikidata":"https://www.wikidata.org/wiki/Q3042561","display_name":"Prognostics","level":2,"score":0.966937780380249},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6199827790260315},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.5354573726654053},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.53414386510849},{"id":"https://openalex.org/C72169020","wikidata":"https://www.wikidata.org/wiki/Q194404","display_name":"Monotonic function","level":2,"score":0.5322808027267456},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.5273951888084412},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5087898373603821},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.4677479565143585},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46647199988365173},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.44131746888160706},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42026543617248535},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.41306576132774353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.390700101852417},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3902568221092224},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3575732409954071},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29657429456710815},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2022.3161705","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3161705","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4769290947","display_name":null,"funder_award_id":"61833002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1481913965","https://openalex.org/W1633751774","https://openalex.org/W2005523062","https://openalex.org/W2008606444","https://openalex.org/W2019505419","https://openalex.org/W2053677366","https://openalex.org/W2078263418","https://openalex.org/W2078279667","https://openalex.org/W2090668019","https://openalex.org/W2128953738","https://openalex.org/W2158042553","https://openalex.org/W2165344987","https://openalex.org/W2168175751","https://openalex.org/W2417225786","https://openalex.org/W2549489119","https://openalex.org/W2587865582","https://openalex.org/W2625850062","https://openalex.org/W2741730792","https://openalex.org/W2751600782","https://openalex.org/W2776641310","https://openalex.org/W2790565135","https://openalex.org/W2791939925","https://openalex.org/W2809925894","https://openalex.org/W2889809771","https://openalex.org/W2903743164","https://openalex.org/W2904460913","https://openalex.org/W2924907380","https://openalex.org/W2947790759","https://openalex.org/W2958041981","https://openalex.org/W2971114125","https://openalex.org/W2997825250","https://openalex.org/W3001004371","https://openalex.org/W3011785067","https://openalex.org/W3017805480","https://openalex.org/W3049468927","https://openalex.org/W6636690510"],"related_works":["https://openalex.org/W2565312173","https://openalex.org/W2066952721","https://openalex.org/W2335152656","https://openalex.org/W2019732711","https://openalex.org/W2137854933","https://openalex.org/W3147035969","https://openalex.org/W2359936972","https://openalex.org/W2104936869","https://openalex.org/W2383027800","https://openalex.org/W2206547991"],"abstract_inverted_index":{"Bearings":[0],"are":[1,155],"classified":[2],"as":[3],"one":[4],"of":[5,46,78,148,163],"the":[6,76,114,121,146,164,170,195],"most":[7],"safety-critical":[8],"components":[9],"in":[10],"industrial":[11],"machinery,":[12],"and":[13,28,31,49,73,105,120,126,180,191,207],"their":[14],"prognostics":[15,57],"have":[16],"proven":[17],"to":[18,23,66,117,144],"be":[19],"an":[20,55],"efficient":[21],"way":[22],"reduce":[24],"costly":[25],"unplanned":[26],"maintenance":[27],"guarantee":[29],"reliability":[30],"safety.":[32],"However,":[33],"accurate":[34],"data-driven":[35],"remaining":[36],"useful":[37],"life":[38],"(RUL)":[39],"prediction":[40,50,198,205],"remains":[41],"a":[42,62,87,106,140,174],"significant":[43],"challenge":[44],"because":[45],"nonlinear":[47],"degradation":[48,142,182,214],"uncertainty.":[51],"In":[52],"this":[53],"study,":[54],"integrated":[56],"method":[58,199],"is":[59,92],"designed":[60],"for":[61,82,157,177,203,210],"rolling":[63],"element":[64],"bearing":[65,178],"identify":[67],"its":[68,83,124,187],"health":[69,89],"state":[70,118],"changes":[71],"adaptively":[72],"further":[74],"improve":[75,145],"accuracy":[77,147,209],"RUL":[79,149,197],"prediction,":[80,150],"particularly":[81],"long-term":[84,158],"prediction.":[85,159],"First,":[86],"new":[88],"indicator":[90],"(HI)":[91],"proposed":[93,171,196],"based":[94],"on":[95],"fuzzy":[96],"<inline-formula":[97],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[98],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[99],"<tex-math":[100],"notation=\"LaTeX\">$c$":[101],"</tex-math></inline-formula>":[102],"-means":[103],"clustering":[104],"modified":[107,141],"confidence":[108],"value":[109],"(CV).":[110],"The":[111,160],"former":[112],"makes":[113],"HI":[115,172],"sensitive":[116],"changes,":[119],"latter":[122],"improves":[123],"monotonicity":[125],"smoothness.":[127],"A":[128],"relevance":[129],"vector":[130],"machine":[131],"(RVM)":[132],"regression":[133],"model":[134,143],"functions":[135],"with":[136,139,212],"multikernel":[137],"widths":[138],"even":[151],"when":[152],"fewer":[153],"samples":[154],"available":[156],"experimental":[161],"results":[162],"two":[165],"case":[166],"studies":[167],"indicate":[168],"that":[169],"provides":[173],"better":[175],"representation":[176],"monotonic":[179],"smooth":[181],"processes":[183],"while":[184],"automatically":[185],"identifying":[186],"first":[188],"predicting":[189],"time":[190],"failure":[192],"threshold.":[193],"Moreover,":[194],"exhibits":[200],"stable":[201],"performance":[202],"various":[204],"ranges":[206],"higher":[208],"bearings":[211],"different":[213],"rates.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}