{"id":"https://openalex.org/W2743840100","doi":"https://doi.org/10.1109/icphm.2017.7998300","title":"An improved fusion prognostics method for remaining useful life prediction of bearings","display_name":"An improved fusion prognostics method for remaining useful life prediction of bearings","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2743840100","doi":"https://doi.org/10.1109/icphm.2017.7998300","mag":"2743840100"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icphm.2017.7998300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5080942962","display_name":"Biao Wang","orcid":"https://orcid.org/0000-0003-4283-2211"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biao Wang","raw_affiliation_strings":["State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008554873","display_name":"Yaguo Lei","orcid":"https://orcid.org/0000-0002-5167-1459"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaguo Lei","raw_affiliation_strings":["State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044245613","display_name":"Naipeng Li","orcid":"https://orcid.org/0000-0003-0678-8161"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Naipeng Li","raw_affiliation_strings":["State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100754192","display_name":"Jing Lin","orcid":"https://orcid.org/0000-0002-7670-1482"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Lin","raw_affiliation_strings":["State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.776,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":14,"citation_normalized_percentile":{"value":0.826409,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":89},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9978,"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":0.9978,"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9953,"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"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9934,"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/prognostics","display_name":"Prognostics","score":0.9709463}],"concepts":[{"id":"https://openalex.org/C129364497","wikidata":"https://www.wikidata.org/wiki/Q3042561","display_name":"Prognostics","level":2,"score":0.9709463},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.59533906},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5346564},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.50201344},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29720455},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icphm.2017.7998300","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.54,"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":21,"referenced_works":["https://openalex.org/W1571089688","https://openalex.org/W1633751774","https://openalex.org/W2005523062","https://openalex.org/W2006169073","https://openalex.org/W2038974670","https://openalex.org/W2051196068","https://openalex.org/W2053443947","https://openalex.org/W2054765608","https://openalex.org/W2062556295","https://openalex.org/W2062613656","https://openalex.org/W2078263418","https://openalex.org/W2092023402","https://openalex.org/W2110007571","https://openalex.org/W2131076549","https://openalex.org/W2274246713","https://openalex.org/W2319025975","https://openalex.org/W2417225786","https://openalex.org/W2463813940","https://openalex.org/W2523377413","https://openalex.org/W2603225712","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3213192587","https://openalex.org/W2748952813","https://openalex.org/W2557573737","https://openalex.org/W2535730979","https://openalex.org/W2383842997","https://openalex.org/W2370073012","https://openalex.org/W2310476526","https://openalex.org/W2144291498","https://openalex.org/W2143585755","https://openalex.org/W2030958945"],"abstract_inverted_index":{"The":[0,230],"remaining":[1],"useful":[2],"life":[3],"(RUL)":[4],"prediction":[5,51,70,105,248],"of":[6,28,52,61,82,94,97,107,157,208,249],"bearings":[7],"has":[8,43,68],"emerged":[9],"as":[10],"a":[11,31,219],"critical":[12],"technique":[13],"for":[14,88,226],"providing":[15],"failure":[16,202],"warnings":[17],"in":[18,128,245],"advance,":[19],"reducing":[20],"costly":[21],"unscheduled":[22],"maintenance":[23],"and":[24,38,46,63,66,112,172],"enhancing":[25],"the":[26,49,59,79,95,104,108,132,154,160,168,173,180,189,195,201,206,209,214,227,234,240,246],"reliability":[27],"bearings.":[29,53,250],"Recently,":[30],"fusion":[32,55,90,109,123,134,216,236,242],"prognostics":[33,56,91,110,124,135,217,237,243],"method":[34,57,92,111,125,211,238,244],"combining":[35],"exponential":[36,64,74,155],"model":[37,65,156],"relevance":[39],"vector":[40],"machine":[41],"(RVM)":[42],"been":[44],"proposed":[45,127,210],"applied":[47,146],"to":[48,147,178,199],"RUL":[50,190,228,247],"This":[54],"integrates":[58],"advantages":[60],"RVM":[62,137],"so":[67],"better":[69],"performance":[71],"than":[72],"other":[73],"model-based":[75],"methods.":[76],"However,":[77],"selecting":[78],"appropriate":[80],"value":[81],"kernel":[83,141],"parameter":[84,142],"is":[85,126,176,191,224],"very":[86],"difficult":[87],"this":[89,119,129],"because":[93],"lack":[96],"an":[98,121],"explicit":[99],"prior":[100],"knowledge.":[101],"which":[102],"reduces":[103],"accuracy":[106],"affects":[113],"its":[114],"generalization":[115],"performance.":[116],"To":[117,204],"solve":[118],"problem,":[120],"improved":[122,133,235],"paper.":[130],"In":[131],"method,":[136,218],"regressions":[138],"with":[139,213],"different":[140,149,161],"values":[143],"are":[144,164],"first":[145],"obtaining":[148],"sparse":[150,170],"datasets.":[151],"Then,":[152],"using":[153],"bearing":[158,221],"degradation,":[159],"degradation":[162,182,197,222],"curves":[163],"got":[165],"by":[166,193],"fitting":[167],"obtained":[169],"datasets":[171],"Fr\u00e9chet":[174],"distance":[175],"employed":[177],"select":[179],"optimum":[181],"curve":[183,198],"from":[184],"those":[185],"fitted":[186],"curves.":[187],"Finally,":[188],"predicted":[192],"extrapolating":[194],"selected":[196],"reach":[200],"threshold.":[203],"verify":[205],"superiority":[207],"compared":[212],"original":[215,241],"real":[220],"data":[223],"used":[225],"prediction.":[229],"results":[231],"show":[232],"that":[233],"outperforms":[239]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2743840100","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3}],"updated_date":"2025-01-04T06:04:01.609016","created_date":"2017-08-17"}