{"id":"https://openalex.org/W2897960558","doi":"https://doi.org/10.1109/access.2018.2875117","title":"An Adaptive Reliability Prediction Method for the Intelligent Satellite Power Distribution System","display_name":"An Adaptive Reliability Prediction Method for the Intelligent Satellite Power Distribution System","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2897960558","doi":"https://doi.org/10.1109/access.2018.2875117","mag":"2897960558"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2875117","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2875117","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2875117","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100691332","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0002-7511-5553"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun Wang","raw_affiliation_strings":["School of Mathematics and Statistics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027726845","display_name":"Yubin Tian","orcid":"https://orcid.org/0000-0002-3162-5738"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yubin Tian","raw_affiliation_strings":["School of Mathematics and Statistics, Beijing Institute of Technology, Beijing, China","ORCiD"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100691332"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.2569,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59466268,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"6","issue":null,"first_page":"58719","last_page":"58727"},"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/T11941","display_name":"Power System Reliability and Maintenance","score":0.9961000084877014,"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":0.9934999942779541,"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/reliability","display_name":"Reliability (semiconductor)","score":0.7748060822486877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7163372039794922},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6229808926582336},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5225833654403687},{"id":"https://openalex.org/keywords/degradation","display_name":"Degradation (telecommunications)","score":0.46360599994659424},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.41078007221221924},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.40209266543388367},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.3977620601654053},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32017892599105835},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13314056396484375},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12469232082366943},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11690795421600342}],"concepts":[{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.7748060822486877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7163372039794922},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6229808926582336},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5225833654403687},{"id":"https://openalex.org/C2779679103","wikidata":"https://www.wikidata.org/wiki/Q5251805","display_name":"Degradation (telecommunications)","level":2,"score":0.46360599994659424},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.41078007221221924},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.40209266543388367},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3977620601654053},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32017892599105835},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13314056396484375},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12469232082366943},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11690795421600342},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2875117","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2875117","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b35ea42edaaa464a833bde065b8b9040","is_oa":true,"landing_page_url":"https://doaj.org/article/b35ea42edaaa464a833bde065b8b9040","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 58719-58727 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2875117","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2875117","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.6000000238418579}],"awards":[{"id":"https://openalex.org/G6586339673","display_name":null,"funder_award_id":"11371054","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1975369035","https://openalex.org/W2002560102","https://openalex.org/W2008944593","https://openalex.org/W2011539370","https://openalex.org/W2037355783","https://openalex.org/W2045333110","https://openalex.org/W2116613479","https://openalex.org/W2143568755","https://openalex.org/W2252482407","https://openalex.org/W2317206979","https://openalex.org/W2536364005","https://openalex.org/W2583134621","https://openalex.org/W2763830668"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W4366700029","https://openalex.org/W4285230481","https://openalex.org/W4385769873","https://openalex.org/W1815542355","https://openalex.org/W2152540334","https://openalex.org/W4289655666","https://openalex.org/W2155742919","https://openalex.org/W2532099551","https://openalex.org/W1914681266"],"abstract_inverted_index":{"The":[0],"accurate":[1],"prediction":[2],"of":[3,37,52,77],"reliability":[4,39,95,119],"for":[5,40,94,121],"long-time":[6],"running":[7],"intelligent":[8],"satellite":[9],"power":[10],"distribution":[11],"systems":[12],"is":[13,23,43,71,86],"crucial":[14],"in":[15],"engineering.":[16],"In":[17],"this":[18,27],"paper,":[19],"an":[20,35,48,90],"adaptive":[21,114],"method":[22,104,130],"proposed":[24,87,103,129],"to":[25,62,88,123],"achieve":[26],"goal.":[28],"Based":[29],"on":[30],"lifetime":[31,79],"and":[32,55,80,115],"degradation":[33,50,81],"data,":[34,82],"estimator":[36],"the":[38,41,67,75,102,109,118,128,135,140,147],"system":[42],"derived":[44],"by":[45,139],"mainly":[46],"using":[47],"additive":[49],"model":[51],"combined":[53],"Poisson":[54],"Gaussian":[56],"processes.":[57],"A":[58,97],"locally":[59],"c-optimal":[60],"approach":[61],"choosing":[63],"effective":[64],"data":[65,69,92,143],"from":[66,113,127,146],"real-time":[68],"flow":[70],"given.":[72],"Associated":[73],"with":[74],"sequence":[76],"observed":[78],"a":[83],"robust":[84],"criterion":[85],"determine":[89],"appropriate":[91],"subset":[93],"prediction.":[96],"simulation":[98],"study":[99],"shows":[100],"that":[101],"gives":[105],"superior":[106],"performance":[107],"over":[108],"traditional":[110],"method.":[111],"Benefiting":[112],"optimal":[116],"strategies,":[117],"predictions":[120],"16":[122],"20":[124],"years":[125],"obtained":[126],"are":[131],"convincing":[132],"even":[133],"if":[134],"initial":[136],"models":[137],"fitted":[138],"ground":[141],"test":[142],"have":[144],"deviations":[145],"true":[148],"models.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}