{"id":"https://openalex.org/W4408281195","doi":"https://doi.org/10.1109/iecon55916.2024.10905432","title":"A Study on The Reliability Analysis of The Integrated Dual-output Converter Using The Bayesian Networks","display_name":"A Study on The Reliability Analysis of The Integrated Dual-output Converter Using The Bayesian Networks","publication_year":2024,"publication_date":"2024-11-03","ids":{"openalex":"https://openalex.org/W4408281195","doi":"https://doi.org/10.1109/iecon55916.2024.10905432"},"language":"en","primary_location":{"id":"doi:10.1109/iecon55916.2024.10905432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon55916.2024.10905432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-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/A5019733010","display_name":"Mahdi Ghavaminejad","orcid":null},"institutions":[{"id":"https://openalex.org/I4210130704","display_name":"University of Michigan\u2013Dearborn","ror":"https://ror.org/035wtm547","country_code":"US","type":"education","lineage":["https://openalex.org/I4210130704"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mahdi Ghavaminejad","raw_affiliation_strings":["University of Michigan-Dearborn,Department of Electrical and Computer Engineering,Dearborn,USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan-Dearborn,Department of Electrical and Computer Engineering,Dearborn,USA","institution_ids":["https://openalex.org/I4210130704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100603093","display_name":"Mengqi Wang","orcid":"https://orcid.org/0000-0003-1979-2565"},"institutions":[{"id":"https://openalex.org/I4210130704","display_name":"University of Michigan\u2013Dearborn","ror":"https://ror.org/035wtm547","country_code":"US","type":"education","lineage":["https://openalex.org/I4210130704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mengqi Wang","raw_affiliation_strings":["University of Michigan-Dearborn,Department of Electrical and Computer Engineering,Dearborn,USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan-Dearborn,Department of Electrical and Computer Engineering,Dearborn,USA","institution_ids":["https://openalex.org/I4210130704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009664810","display_name":"Wencong Su","orcid":"https://orcid.org/0000-0003-1482-3078"},"institutions":[{"id":"https://openalex.org/I4210130704","display_name":"University of Michigan\u2013Dearborn","ror":"https://ror.org/035wtm547","country_code":"US","type":"education","lineage":["https://openalex.org/I4210130704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wencong Su","raw_affiliation_strings":["University of Michigan-Dearborn,Department of Electrical and Computer Engineering,Dearborn,USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan-Dearborn,Department of Electrical and Computer Engineering,Dearborn,USA","institution_ids":["https://openalex.org/I4210130704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103872172","display_name":"DucDung Le","orcid":"https://orcid.org/0000-0003-4288-4249"},"institutions":[{"id":"https://openalex.org/I4210130704","display_name":"University of Michigan\u2013Dearborn","ror":"https://ror.org/035wtm547","country_code":"US","type":"education","lineage":["https://openalex.org/I4210130704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"DucDung Le","raw_affiliation_strings":["University of Michigan-Dearborn,Department of Electrical and Computer Engineering,Dearborn,USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan-Dearborn,Department of Electrical and Computer Engineering,Dearborn,USA","institution_ids":["https://openalex.org/I4210130704"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049791651","display_name":"Shahid Khan","orcid":"https://orcid.org/0000-0003-2937-3831"},"institutions":[{"id":"https://openalex.org/I4210130704","display_name":"University of Michigan\u2013Dearborn","ror":"https://ror.org/035wtm547","country_code":"US","type":"education","lineage":["https://openalex.org/I4210130704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shahid Aziz Khan","raw_affiliation_strings":["University of Michigan-Dearborn,Department of Electrical and Computer Engineering,Dearborn,USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan-Dearborn,Department of Electrical and Computer Engineering,Dearborn,USA","institution_ids":["https://openalex.org/I4210130704"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5019733010"],"corresponding_institution_ids":["https://openalex.org/I4210130704"],"apc_list":null,"apc_paid":null,"fwci":0.2734,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59239294,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14156","display_name":"Engineering Applied Research","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T14156","display_name":"Engineering Applied Research","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T14484","display_name":"Technology and Data Analysis","score":0.930400013923645,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.7026262879371643},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6834733486175537},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6307302117347717},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.563301682472229},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5612413287162781},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5603470802307129},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2072238028049469},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12762987613677979},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06162425875663757}],"concepts":[{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.7026262879371643},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6834733486175537},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6307302117347717},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.563301682472229},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5612413287162781},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5603470802307129},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2072238028049469},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12762987613677979},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06162425875663757},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iecon55916.2024.10905432","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon55916.2024.10905432","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1788662710","https://openalex.org/W2007393355","https://openalex.org/W2016339273","https://openalex.org/W2333010560","https://openalex.org/W2397134580","https://openalex.org/W2765240847","https://openalex.org/W2798018590","https://openalex.org/W2941724634","https://openalex.org/W2978034729","https://openalex.org/W3012466011","https://openalex.org/W3039293588","https://openalex.org/W3083151360","https://openalex.org/W3133215079","https://openalex.org/W3137748149","https://openalex.org/W3172868983","https://openalex.org/W3204752068","https://openalex.org/W3216063966","https://openalex.org/W4280510668","https://openalex.org/W4281785486","https://openalex.org/W4392517508"],"related_works":["https://openalex.org/W2033512842","https://openalex.org/W4233600955","https://openalex.org/W4322734194","https://openalex.org/W3116237489","https://openalex.org/W4404996554","https://openalex.org/W2913665393","https://openalex.org/W2369695847","https://openalex.org/W3005535424","https://openalex.org/W2994319598","https://openalex.org/W2047067935"],"abstract_inverted_index":{"This":[0],"paper":[1],"focuses":[2],"on":[3,40],"the":[4,8,17,48,53,62,68,73,89,105,109,121,131,134,153,161,165,168],"reliability":[5,33,57,90,154],"studies":[6],"of":[7,76,92,133,155,167],"output":[9,156],"voltages":[10],"in":[11,67],"a":[12,78],"multi-port":[13],"DC-DC":[14],"converter":[15,20],"called":[16],"integrated":[18],"dual-output":[19],"(IDOC).":[21],"The":[22,59],"Markov":[23,162],"process":[24,163],"and":[25,61,84,100,112,125,140,143,148],"Bayesian":[26,35,113],"networks":[27,36],"(BNs)":[28],"are":[29,44,64,118,150],"used":[30],"to":[31,120,129],"perform":[32],"analyses.":[34],"(BNs),":[37],"developed":[38,66],"based":[39],"machine":[41],"learning":[42,139],"techniques,":[43],"suitable":[45],"for":[46,56],"unhiding":[47],"dependencies":[49],"along":[50],"with":[51],"estimating":[52],"conditional":[54,142],"probabilities":[55],"studies.":[58],"BNLearn":[60],"pgmpy":[63],"libraries":[65],"Python":[69],"environment":[70],"that":[71],"include":[72],"main":[74],"parts":[75],"obtaining":[77],"BN:":[79],"structure":[80,132],"learning,":[81,83],"parameter":[82,138],"inference.":[85],"A":[86],"dataset":[87,122],"including":[88],"model":[91],"each":[93],"device":[94],"is":[95],"created":[96],"using":[97,137],"state":[98],"sampling":[99],"Monte":[101],"Carlo":[102],"simulation,":[103],"considering":[104],"open-circuit":[106],"fault.":[107],"Next,":[108],"hill-climbing":[110],"(HC)":[111],"information":[114],"criterion":[115],"(BIC)":[116],"methods":[117],"applied":[119],"as":[123],"searching":[124],"scoring":[126],"functions,":[127],"respectively,":[128],"determine":[130],"BN.":[135,170],"Finally,":[136],"inference,":[141],"joint":[144],"probability":[145],"distributions":[146],"(CPDs":[147],"JPDs)":[149],"obtained,":[151],"yielding":[152],"voltages.":[157],"Theoretical":[158],"calculations":[159],"through":[160],"validate":[164],"accuracy":[166],"obtained":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}
