{"id":"https://openalex.org/W2808432517","doi":"https://doi.org/10.3233/jifs-169546","title":"Sparse coding based RUL prediction and its application on roller bearing prognostics","display_name":"Sparse coding based RUL prediction and its application on roller bearing prognostics","publication_year":2018,"publication_date":"2018-06-11","ids":{"openalex":"https://openalex.org/W2808432517","doi":"https://doi.org/10.3233/jifs-169546","mag":"2808432517"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-169546","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-169546","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","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/A5088853488","display_name":"Yanxue Wang","orcid":"https://orcid.org/0000-0001-8739-4740"},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanxue Wang","raw_affiliation_strings":["Beijing Key Laboratory of Performance Guarantee on Urban Rail Transit Vehicles, Beijing University of Civil Engineering and Architecture, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Performance Guarantee on Urban Rail Transit Vehicles, Beijing University of Civil Engineering and Architecture, Beijing, China","institution_ids":["https://openalex.org/I62853816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071871920","display_name":"Huaxin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaxin Li","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology, Guilin, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018066168","display_name":"Jianwei Yang","orcid":"https://orcid.org/0000-0003-2536-2334"},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Yang","raw_affiliation_strings":["Beijing Key Laboratory of Performance Guarantee on Urban Rail Transit Vehicles, Beijing University of Civil Engineering and Architecture, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Performance Guarantee on Urban Rail Transit Vehicles, Beijing University of Civil Engineering and Architecture, Beijing, China","institution_ids":["https://openalex.org/I62853816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010056672","display_name":"Dechen Yao","orcid":"https://orcid.org/0000-0002-9489-7984"},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dechen Yao","raw_affiliation_strings":["Beijing Key Laboratory of Performance Guarantee on Urban Rail Transit Vehicles, Beijing University of Civil Engineering and Architecture, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Performance Guarantee on Urban Rail Transit Vehicles, Beijing University of Civil Engineering and Architecture, Beijing, China","institution_ids":["https://openalex.org/I62853816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088853488"],"corresponding_institution_ids":["https://openalex.org/I62853816"],"apc_list":null,"apc_paid":null,"fwci":0.5518,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66358319,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"34","issue":"6","first_page":"3719","last_page":"3733"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9959999918937683,"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":0.9959999918937683,"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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9688000082969666,"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"}},{"id":"https://openalex.org/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.9606999754905701,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/prognostics","display_name":"Prognostics","score":0.9460141658782959},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5574162006378174},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.5386187434196472},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5049613118171692},{"id":"https://openalex.org/keywords/roller-bearing","display_name":"Roller bearing","score":0.41576820611953735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35567784309387207},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.348782479763031},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3461444675922394},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2873538136482239},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20812642574310303},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1979897916316986},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1860511600971222},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.10727760195732117}],"concepts":[{"id":"https://openalex.org/C129364497","wikidata":"https://www.wikidata.org/wiki/Q3042561","display_name":"Prognostics","level":2,"score":0.9460141658782959},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5574162006378174},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.5386187434196472},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5049613118171692},{"id":"https://openalex.org/C3017727758","wikidata":"https://www.wikidata.org/wiki/Q1335987","display_name":"Roller bearing","level":3,"score":0.41576820611953735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35567784309387207},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.348782479763031},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3461444675922394},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2873538136482239},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20812642574310303},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1979897916316986},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1860511600971222},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.10727760195732117},{"id":"https://openalex.org/C184608416","wikidata":"https://www.wikidata.org/wiki/Q1455803","display_name":"Lubrication","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-169546","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-169546","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322768","display_name":"Natural Science Foundation of Guangxi Province","ror":null},{"id":"https://openalex.org/F4320337368","display_name":"Division of Graduate Education","ror":"https://ror.org/00whkrf32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1196777648","https://openalex.org/W1565228990","https://openalex.org/W1579129365","https://openalex.org/W1828120854","https://openalex.org/W1993962865","https://openalex.org/W1995319862","https://openalex.org/W2019505419","https://openalex.org/W2023722580","https://openalex.org/W2033800551","https://openalex.org/W2034865485","https://openalex.org/W2044309218","https://openalex.org/W2051196068","https://openalex.org/W2053186076","https://openalex.org/W2053443947","https://openalex.org/W2089731252","https://openalex.org/W2117829824","https://openalex.org/W2121058967","https://openalex.org/W2145889472","https://openalex.org/W2157069634","https://openalex.org/W2161679661","https://openalex.org/W2284346219","https://openalex.org/W2463813940","https://openalex.org/W2499322394","https://openalex.org/W2523377413","https://openalex.org/W2546427370","https://openalex.org/W2560772051","https://openalex.org/W2591055632","https://openalex.org/W2594054146","https://openalex.org/W3124114587"],"related_works":["https://openalex.org/W2557573737","https://openalex.org/W2383842997","https://openalex.org/W2143585755","https://openalex.org/W2100845289","https://openalex.org/W2171989795","https://openalex.org/W2086816605","https://openalex.org/W2160990251","https://openalex.org/W2022342234","https://openalex.org/W2397606660","https://openalex.org/W82679603"],"abstract_inverted_index":{"Roller":[0],"bearings":[1],"are":[2,53,64,92,166,181],"among":[3],"the":[4,10,28,32,68,79,122,170,186,191],"most":[5,77],"frequently":[6],"encountered":[7],"components":[8],"in":[9,117,207],"majority":[11],"of":[12,20,31,40,70,78,151,190,199],"rotating":[13],"machines.":[14],"Thus,":[15],"prognostic":[16],"and":[17,56,72,88,95,125,132,163,188,204],"health":[18],"management":[19],"roller":[21],"bearing":[22,50,113,200],"plays":[23],"an":[24],"important":[25],"role":[26],"on":[27,121],"working":[29],"conditions":[30],"machine.":[33],"Remaining":[34],"useful":[35,107,196],"life":[36,108,197],"prediction":[37,69,109,198],"is":[38,115,137],"one":[39],"keys":[41],"to":[42,168,183],"apply":[43],"PHM":[44],"for":[45,67,97,111,156,194],"practical":[46,98],"applications.":[47,99],"The":[48],"collected":[49],"vibration":[51],"signals":[52],"generally":[54],"non-linear":[55],"non-stationary.":[57],"However,":[58],"those":[59],"auto-regression":[60,128],"model":[61,129],"based":[62,83,120],"methods":[63],"only":[65],"suitable":[66],"linear":[71,127,162],"stationary":[73],"time":[74,93],"series.":[75],"Moreover,":[76],"existing":[80],"machine":[81],"learning":[82],"techniques":[84],"require":[85],"considerable":[86],"training":[87,131],"parameter":[89,133],"tunings":[90],"which":[91],"consuming":[94],"difficult":[96],"To":[100],"overcome":[101],"these":[102],"issues,":[103],"a":[104,140,148],"novel":[105],"remaining":[106,195],"method":[110,193],"rolling":[112],"prognostics":[114],"proposed":[116,171,192],"this":[118],"work":[119],"sparse":[123,126,149,174],"coding":[124,136,175],"without":[130],"tunings.":[134],"Sparse":[135,160],"formulated":[138],"as":[139],"basis":[141],"pursuit":[142],"L":[143],"1":[144],"-norm":[145],"problem,":[146],"where":[147],"set":[150],"weight":[152,172],"can":[153],"be":[154],"estimated":[155],"each":[157],"test":[158],"vector.":[159],"local":[161],"neighbor":[164],"embedding":[165],"employed":[167],"construct":[169],"constraint":[173],"method.":[176],"Two":[177],"different":[178],"experimental":[179],"validations":[180],"conducted":[182],"well":[184],"demonstrate":[185],"effectiveness":[187],"robustness":[189],"via":[201],"root-mean-square,":[202],"peak-to-peak":[203],"kurtosis":[205],"indicators":[206],"time-domain.":[208]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-02-08T09:19:03.324500","created_date":"2025-10-10T00:00:00"}
