{"id":"https://openalex.org/W2617325738","doi":"https://doi.org/10.1109/tr.2017.2704582","title":"Nonparametric Bayesian Analysis for Masked Data From Hybrid Systems in Accelerated Lifetime Tests","display_name":"Nonparametric Bayesian Analysis for Masked Data From Hybrid Systems in Accelerated Lifetime Tests","publication_year":2017,"publication_date":"2017-05-25","ids":{"openalex":"https://openalex.org/W2617325738","doi":"https://doi.org/10.1109/tr.2017.2704582","mag":"2617325738"},"language":"en","primary_location":{"id":"doi:10.1109/tr.2017.2704582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2017.2704582","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/A5100760961","display_name":"Bin Liu","orcid":"https://orcid.org/0009-0009-8657-2504"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Liu","raw_affiliation_strings":["Department of Applied Mathematics, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025136852","display_name":"Yimin Shi","orcid":"https://orcid.org/0000-0003-0517-5611"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yimin Shi","raw_affiliation_strings":["Department of Applied Mathematics, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047694055","display_name":"Jing Cai","orcid":"https://orcid.org/0000-0002-6455-9992"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Cai","raw_affiliation_strings":["Department of Applied Mathematics, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073453014","display_name":"Xuchao Bai","orcid":"https://orcid.org/0000-0002-9860-3154"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuchao Bai","raw_affiliation_strings":["Department of Applied Mathematics, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100776939","display_name":"Chunfang Zhang","orcid":"https://orcid.org/0000-0003-3075-2812"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunfang Zhang","raw_affiliation_strings":["Department of Applied Mathematics, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":2.2727,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.91055532,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"66","issue":"3","first_page":"662","last_page":"676"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9980000257492065,"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"}},"topics":[{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9980000257492065,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9879000186920166,"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/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.577144205570221},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5412386059761047},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5205332040786743},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49985337257385254},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.4815666973590851},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4373067021369934},{"id":"https://openalex.org/keywords/dirichlet-distribution","display_name":"Dirichlet distribution","score":0.4198509752750397},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3642866909503937},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36113786697387695},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2939682900905609},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21355411410331726}],"concepts":[{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.577144205570221},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5412386059761047},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5205332040786743},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49985337257385254},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.4815666973590851},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4373067021369934},{"id":"https://openalex.org/C169214877","wikidata":"https://www.wikidata.org/wiki/Q981016","display_name":"Dirichlet distribution","level":3,"score":0.4198509752750397},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3642866909503937},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36113786697387695},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2939682900905609},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21355411410331726},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tr.2017.2704582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2017.2704582","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":[],"awards":[{"id":"https://openalex.org/G4876375519","display_name":"\u5c4f\u853d\u6570\u636e\u7cfb\u7edf\u7684\u53ef\u9760\u6027\u8bc4\u4f30\u7814\u7a76","funder_award_id":"71401134","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G519452898","display_name":null,"funder_award_id":"201601D202001","funder_id":"https://openalex.org/F4320322666","funder_display_name":"Natural Science Foundation of Shanxi Province"},{"id":"https://openalex.org/G672861066","display_name":"\u9010\u6b65\u6df7\u5408\u622a\u5c3e\u52a0\u901f\u5bff\u547d\u8bd5\u9a8c\u4e0e\u53ef\u9760\u6027\u8bc4\u4f30\u7814\u7a76","funder_award_id":"71171164","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7593238808","display_name":"\u76f8\u4f9d\u7ade\u4e89\u5931\u6548\u4ea7\u54c1\u52a0\u901f\u5bff\u547d\u8bd5\u9a8c\u4e0e\u53ef\u9760\u6027\u8bc4\u4f30\u7814\u7a76","funder_award_id":"71571144","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"},{"id":"https://openalex.org/F4320322666","display_name":"Natural Science Foundation of Shanxi Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1967687583","https://openalex.org/W1968366913","https://openalex.org/W1971600364","https://openalex.org/W1978778777","https://openalex.org/W1979300931","https://openalex.org/W1985865722","https://openalex.org/W1986569050","https://openalex.org/W1989464134","https://openalex.org/W1998171786","https://openalex.org/W2011236983","https://openalex.org/W2012200333","https://openalex.org/W2022096527","https://openalex.org/W2027871315","https://openalex.org/W2039964653","https://openalex.org/W2041535943","https://openalex.org/W2042098412","https://openalex.org/W2065641327","https://openalex.org/W2074364289","https://openalex.org/W2080961387","https://openalex.org/W2085985392","https://openalex.org/W2095234806","https://openalex.org/W2099153026","https://openalex.org/W2112491126","https://openalex.org/W2117897510","https://openalex.org/W2119115146","https://openalex.org/W2124181495","https://openalex.org/W2124687376","https://openalex.org/W2125697860","https://openalex.org/W2155302136","https://openalex.org/W2164397057","https://openalex.org/W2171365244","https://openalex.org/W2181313139","https://openalex.org/W2345251943","https://openalex.org/W2406230580","https://openalex.org/W4250332012","https://openalex.org/W4252502688","https://openalex.org/W4255041535","https://openalex.org/W4293241248","https://openalex.org/W4391668185"],"related_works":["https://openalex.org/W4243114048","https://openalex.org/W4237896776","https://openalex.org/W4231665652","https://openalex.org/W2000242494","https://openalex.org/W4296826658","https://openalex.org/W1837630526","https://openalex.org/W2529605301","https://openalex.org/W2335589441","https://openalex.org/W1861848143","https://openalex.org/W2118640767"],"abstract_inverted_index":{"Under":[0],"constant":[1],"stress":[2],"accelerated":[3],"test,":[4],"we":[5,93],"analyze":[6],"the":[7,36,51,62,72,76,82,97,105,113,126,129,132],"masked":[8],"data":[9,139],"from":[10,61],"hybrid":[11],"systems":[12],"including":[13],"series-parallel":[14,99],"system":[15,58,100,115],"and":[16,23,46,57],"parallel-series":[17,102],"system.":[18,103],"The":[19],"Bayesian":[20,107],"posterior":[21],"distribution":[22],"estimates":[24,52,63],"of":[25,35,49,53,64,78,81,128,140],"components'":[26],"subsurvival":[27,45,65],"functions":[28,48,84],"are":[29,59],"obtained":[30],"by":[31],"assuming":[32],"a":[33,42,90,137],"prior":[34],"multivariate":[37],"Dirichlet":[38],"process.":[39],"By":[40],"establishing":[41],"relationship":[43],"between":[44],"survival":[47,83],"components,":[50],"reliabilities":[54],"for":[55,112],"components":[56],"derived":[60],"functions.":[66],"It":[67],"is":[68,109,122,134],"not":[69],"confined":[70],"to":[71,86,96,124,136],"common":[73],"restriction":[74],"that":[75],"sets":[77],"discontinuity":[79],"points":[80],"have":[85],"be":[87],"disjointed.":[88],"For":[89],"complex":[91,114],"system,":[92],"represent":[94],"it":[95],"proposed":[98],"or":[101],"Thus,":[104],"nonparametric":[106],"approach":[108],"also":[110],"applicable":[111],"with":[116],"s-independent":[117],"components.":[118],"A":[119],"simulated":[120],"example":[121],"presented":[123],"demonstrate":[125],"efficiency":[127],"method.":[130],"Finally,":[131],"method":[133],"applied":[135],"real":[138],"coal":[141],"mine":[142],"monitoring":[143],"power.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
