{"id":"https://openalex.org/W2171527325","doi":"https://doi.org/10.1109/tr.2013.2241232","title":"Multi-Sensor Information Based Remaining Useful Life Prediction With Anticipated Performance","display_name":"Multi-Sensor Information Based Remaining Useful Life Prediction With Anticipated Performance","publication_year":2013,"publication_date":"2013-01-31","ids":{"openalex":"https://openalex.org/W2171527325","doi":"https://doi.org/10.1109/tr.2013.2241232","mag":"2171527325"},"language":"en","primary_location":{"id":"doi:10.1109/tr.2013.2241232","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2013.2241232","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"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 Reliability","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/A5082990287","display_name":"Muheng Wei","orcid":"https://orcid.org/0000-0003-1723-2839"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Muheng Wei","raw_affiliation_strings":["Department of Automation, TNList, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, TNList, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068635855","display_name":"Maoyin Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maoyin Chen","raw_affiliation_strings":["Department of Automation, TNList, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, TNList, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001517167","display_name":"Donghua Zhou","orcid":"https://orcid.org/0000-0003-0169-8490"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Donghua Zhou","raw_affiliation_strings":["Department of Automation, TNList, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, TNList, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082990287"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":15.7394,"has_fulltext":false,"cited_by_count":70,"citation_normalized_percentile":{"value":0.98955132,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"62","issue":"1","first_page":"183","last_page":"198"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9998000264167786,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.991100013256073,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.6010260581970215},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5766709446907043},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.565065324306488},{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.516660213470459},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5017709732055664},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48993271589279175},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.46263211965560913},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.42551058530807495},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.42467015981674194},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.4012363851070404},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28389424085617065},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28369998931884766},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2735258936882019},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15050223469734192}],"concepts":[{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.6010260581970215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5766709446907043},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.565065324306488},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.516660213470459},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5017709732055664},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48993271589279175},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.46263211965560913},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.42551058530807495},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.42467015981674194},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.4012363851070404},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28389424085617065},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28369998931884766},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2735258936882019},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15050223469734192},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tr.2013.2241232","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2013.2241232","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"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 Reliability","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","score":0.5899999737739563,"display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W103673564","https://openalex.org/W317397600","https://openalex.org/W1585926113","https://openalex.org/W1964039725","https://openalex.org/W1969150846","https://openalex.org/W1983157302","https://openalex.org/W2000743683","https://openalex.org/W2011691068","https://openalex.org/W2017451286","https://openalex.org/W2018487135","https://openalex.org/W2032857882","https://openalex.org/W2033756468","https://openalex.org/W2045186954","https://openalex.org/W2049045003","https://openalex.org/W2049633694","https://openalex.org/W2053463776","https://openalex.org/W2054972225","https://openalex.org/W2055873761","https://openalex.org/W2064323378","https://openalex.org/W2081568281","https://openalex.org/W2086471648","https://openalex.org/W2090749763","https://openalex.org/W2091816029","https://openalex.org/W2103221250","https://openalex.org/W2108898839","https://openalex.org/W2110007571","https://openalex.org/W2110308097","https://openalex.org/W2114530196","https://openalex.org/W2116870707","https://openalex.org/W2120178589","https://openalex.org/W2126432428","https://openalex.org/W2134153335","https://openalex.org/W2143568755","https://openalex.org/W2146465930","https://openalex.org/W2152270473","https://openalex.org/W2153810086","https://openalex.org/W2157457477","https://openalex.org/W2374309567","https://openalex.org/W2509898766","https://openalex.org/W3129711340","https://openalex.org/W4239218596","https://openalex.org/W6677328118"],"related_works":["https://openalex.org/W2534928293","https://openalex.org/W2150099345","https://openalex.org/W2078609410","https://openalex.org/W4205762803","https://openalex.org/W3004580327","https://openalex.org/W3012501961","https://openalex.org/W1490077415","https://openalex.org/W2392320810","https://openalex.org/W2535856026","https://openalex.org/W2160318243"],"abstract_inverted_index":{"For":[0],"a":[1,106,110],"class":[2],"of":[3,55,76,114],"multi-sensor":[4,78],"dynamic":[5],"systems":[6],"subject":[7],"to":[8,71],"latent":[9],"degradation,":[10],"the":[11,45,53,63,74,86,94,115],"remaining":[12,46,82],"useful":[13,47,83],"life":[14,48],"prediction":[15],"with":[16],"anticipated":[17,95],"performance":[18,96],"is":[19,29,50,69,89],"mainly":[20],"considered":[21],"in":[22],"this":[23],"paper.":[24],"The":[25,66],"hidden":[26],"degradation":[27,57],"process":[28],"first":[30],"identified":[31],"recursively":[32],"by":[33,105],"adopting":[34],"distributed":[35],"fusion":[36],"filtering":[37],"based":[38],"on":[39,52],"observations":[40],"from":[41],"multiple":[42],"sensors.":[43],"Then":[44],"distribution":[49],"predicted":[51,81],"basis":[54],"converged":[56],"state":[58],"and":[59,85,109],"parameter":[60],"updating":[61],"during":[62],"operating":[64],"process.":[65],"uncertainty":[67],"index":[68],"aanalyzed":[70],"quantitatively":[72],"evaluate":[73],"benefits":[75],"increasing":[77],"information":[79],"for":[80,92],"life,":[84],"sensor":[87],"selection":[88],"also":[90],"discussed":[91],"satisfying":[93],"such":[97],"as":[98],"variance.":[99],"Our":[100],"main":[101],"results":[102],"are":[103],"verified":[104],"numerical":[107],"example,":[108],"practical":[111],"case":[112],"study":[113],"milling":[116],"machine":[117],"experiment.":[118]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":1}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}
