乐胖代购免代理版

{"id":"https://openalex.org/W2118442487","doi":"https://doi.org/10.1109/tase.2009.2023209","title":"Prognostics-Based Identification of the Top-$k$ Units in a Fleet","display_name":"Prognostics-Based Identification of the Top-$k$ Units in a Fleet","publication_year":2009,"publication_date":"2009-09-30","ids":{"openalex":"https://openalex.org/W2118442487","doi":"https://doi.org/10.1109/tase.2009.2023209","mag":"2118442487"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2009.2023209","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"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/A5054372641","display_name":"Nagi Gebraeel","orcid":"https://orcid.org/0000-0001-7337-2401"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"funder","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"N. Gebraeel","raw_affiliation_strings":["Stewart Sch. of Ind. & Syst. Eng., Georgia Inst. of Technol., Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Stewart Sch. of Ind. & Syst. Eng., Georgia Inst. of Technol., Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5054372641"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":4.858,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":23,"citation_normalized_percentile":{"value":0.955274,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":90},"biblio":{"volume":"7","issue":"1","first_page":"37","last_page":"48"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9999,"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":0.9999,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.995,"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"}},{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9889,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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":0.63388157},{"id":"https://openalex.org/keywords/identification","display_name":"Identification","score":0.49631983},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.47239754},{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation","score":0.41952163}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.72247785},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.6529761},{"id":"https://openalex.org/C129364497","wikidata":"https://www.wikidata.org/wiki/Q3042561","display_name":"Prognostics","level":2,"score":0.63388157},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5186955},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.49631983},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4855363},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.47239754},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4305095},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.42216122},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.41952163},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38001248},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.280304},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25720078},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2009.2023209","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"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":[{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.57}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":48,"referenced_works":["https://openalex.org/W1501062552","https://openalex.org/W1585926113","https://openalex.org/W176292746","https://openalex.org/W1963957210","https://openalex.org/W1969043419","https://openalex.org/W1971140523","https://openalex.org/W1982077216","https://openalex.org/W2013082914","https://openalex.org/W2020919487","https://openalex.org/W2027910983","https://openalex.org/W2029196878","https://openalex.org/W2041429597","https://openalex.org/W2043129860","https://openalex.org/W2047826691","https://openalex.org/W2049045003","https://openalex.org/W2058902325","https://openalex.org/W2081420748","https://openalex.org/W2083039049","https://openalex.org/W2086174602","https://openalex.org/W2090749763","https://openalex.org/W2099560014","https://openalex.org/W2103590861","https://openalex.org/W2110007571","https://openalex.org/W2116810755","https://openalex.org/W2116870707","https://openalex.org/W2122779370","https://openalex.org/W2126445794","https://openalex.org/W2144997286","https://openalex.org/W2151038992","https://openalex.org/W2153719785","https://openalex.org/W2153810086","https://openalex.org/W2157457477","https://openalex.org/W2159264421","https://openalex.org/W2181369807","https://openalex.org/W2269235952","https://openalex.org/W2481695031","https://openalex.org/W249721123","https://openalex.org/W2666600683","https://openalex.org/W2790092024","https://openalex.org/W2795854098","https://openalex.org/W30374642","https://openalex.org/W4233914278","https://openalex.org/W4233921518","https://openalex.org/W4239218596","https://openalex.org/W4256456322","https://openalex.org/W4285719527","https://openalex.org/W75581641","https://openalex.org/W91475952"],"related_works":["https://openalex.org/W4386567722","https://openalex.org/W3213192587","https://openalex.org/W3193475673","https://openalex.org/W2965730886","https://openalex.org/W2535730979","https://openalex.org/W2370073012","https://openalex.org/W2310476526","https://openalex.org/W2168646784","https://openalex.org/W2144291498","https://openalex.org/W2030958945"],"abstract_inverted_index":{"This":[0],"paper":[1,34,178],"considers":[2],"a":[3,36,53,62,103],"fleet":[4,54,141],"of":[5,12,20,95,99,120,139,146],"identical":[6],"units":[7,51,138,170],"where":[8],"each":[9,21,100],"unit":[10],"consists":[11],"the":[13,40,96,118,128,137,140,144,156,165,175],"same":[14],"critical":[15,22,97],"components.":[16,122,149],"The":[17,33,78,177],"degradation":[18,70,80,107],"state":[19],"component":[23],"is":[24,83,132,160],"assumed":[25],"to":[26,85,113,135,163],"be":[27],"monitored":[28],"by":[29],"an":[30,181],"on-board":[31],"sensor.":[32],"presents":[35],"methodology":[37],"for":[38],"identifying":[39],"top-":[41,166],"k":[44,48,169],"(the":[45],"most":[49],"reliable)":[50],"in":[52,89],"using":[55],"sensor-based":[56],"prognostic":[57],"information.":[58],"Specifically,":[59],"we":[60,109],"develop":[61],"prognostics-based":[63],"ranking":[64,76,152],"(PBR)":[65],"algorithm":[66,158],"that":[67],"combines":[68],"stochastic":[69,79,115,129],"models":[71],"with":[72,127,180],"computer":[73],"science":[74],"database":[75,151],"algorithms.":[77],"modeling":[81],"framework":[82],"used":[84,134,162],"compute":[86],"and":[87],"update,":[88],"real-time,":[90],"residual":[91],"life":[92],"distributions":[93],"(RLDs)":[94],"components":[98],"unit.":[101],"Using":[102],"base":[104],"case":[105],"exponential":[106],"model,":[108],"identify":[110,164],"conditions":[111],"necessary":[112],"establish":[114],"ordering":[116,130],"among":[117],"RLDs":[119,145],"similar":[121],"A":[123,150],"preference":[124],"relationship,":[125],"consistent":[126],"results,":[131],"then":[133,161],"sort":[136],"based":[142],"on":[143],"their":[147],"respective":[148],"algorithm,":[153],"known":[154],"as":[155],"threshold":[157],"(TA),":[159],"without":[171],"necessarily":[172],"computing":[173],"all":[174],"RLDs.":[176],"concludes":[179],"illustrative":[182],"example.":[183]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2118442487","counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2025-02-16T10:47:52.699924","created_date":"2016-06-24"}