{"id":"https://openalex.org/W2208056366","doi":"https://doi.org/10.4271/2006-01-1422","title":"Application of Bayesian Process to Annual Validation Strategy","display_name":"Application of Bayesian Process to Annual Validation Strategy","publication_year":2006,"publication_date":"2006-04-03","ids":{"openalex":"https://openalex.org/W2208056366","doi":"https://doi.org/10.4271/2006-01-1422","mag":"2208056366"},"language":"en","primary_location":{"id":"doi:10.4271/2006-01-1422","doi":"https://doi.org/10.4271/2006-01-1422","is_oa":false,"landing_page_url":"https://doi.org/10.4271/2006-01-1422","pdf_url":null,"source":{"id":"https://openalex.org/S4210202285","display_name":"SAE technical papers on CD-ROM/SAE technical paper series","issn_l":"0148-7191","issn":["0148-7191","1083-4958","2688-3627"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1","poland-40"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SAE Technical Paper Series","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5113480245","display_name":"Rachel R. Itabashi-Campbell","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Rachel Itabashi-Campbell","raw_affiliation_strings":["Alps Automotive, Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alps Automotive, Inc","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5113480245"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1807,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.8185823,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.8647000193595886,"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":0.8647000193595886,"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/T11357","display_name":"Risk and Safety Analysis","score":0.05130000039935112,"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/T13164","display_name":"Quality and Management Systems","score":0.02410000003874302,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-reliability-analysis","display_name":"Bayesian reliability analysis","score":0.9259999990463257},{"id":"https://openalex.org/keywords/failure-modes","display_name":"failure modes","score":0.6579999923706055},{"id":"https://openalex.org/keywords/manufacturing-variability","display_name":"manufacturing variability","score":0.8240000009536743},{"id":"https://openalex.org/keywords/automotive-components","display_name":"automotive components","score":0.8479999899864197}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7039846181869507},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5471732020378113},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5331097841262817},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.360318660736084},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3426009714603424},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33136141300201416},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4271/2006-01-1422","doi":"https://doi.org/10.4271/2006-01-1422","is_oa":false,"landing_page_url":"https://doi.org/10.4271/2006-01-1422","pdf_url":null,"source":{"id":"https://openalex.org/S4210202285","display_name":"SAE technical papers on CD-ROM/SAE technical paper series","issn_l":"0148-7191","issn":["0148-7191","1083-4958","2688-3627"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1","poland-40"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SAE Technical Paper Series","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1577471321","https://openalex.org/W1750274370","https://openalex.org/W2090980920","https://openalex.org/W6816725160"],"related_works":["https://openalex.org/W4234682866","https://openalex.org/W2782572738","https://openalex.org/W2076666365","https://openalex.org/W6922661016","https://openalex.org/W1875406918","https://openalex.org/W144595062","https://openalex.org/W1577471321","https://openalex.org/W2285917932","https://openalex.org/W4255328261","https://openalex.org/W131931372"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"that":[3,36,54],"logical,":[4],"reliability-based":[5,41],"thinking":[6],"be":[7,63,92],"applied":[8],"to":[9,30,69,87],"the":[10,60],"establishment":[11],"of":[12,53],"post-launch":[13],"periodic":[14,58],"re-validation":[15],"plans.":[16],"A":[17],"Bayesian":[18],"reliability":[19],"framework":[20],"may":[21,91],"serve":[22],"as":[23],"a":[24,39,50],"tool":[25],"for":[26],"managing":[27],"issues":[28],"related":[29,68],"continual":[31,46],"conformance.":[32],"For":[33],"an":[34,82],"organization":[35],"already":[37],"has":[38],"standardized,":[40],"product":[42],"development":[43],"process,":[44],"planning":[45,57],"conformance":[47],"strategies":[48],"is":[49,85],"natural":[51],"extension":[52],"process.":[55],"In":[56],"re-validations,":[59],"focus":[61],"should":[62],"on":[64],"potential":[65],"failure":[66],"modes":[67],"manufacturing":[70],"processes":[71],"and":[72],"fluctuations":[73],"in":[74],"supplied":[75],"parts":[76],"quality.":[77],"An":[78],"application":[79],"example":[80],"using":[81],"automotive":[83],"part":[84],"presented":[86],"demonstrate":[88],"how":[89],"this":[90],"done.":[93]},"counts_by_year":[],"updated_date":"2026-09-22T06:50:58.402377","created_date":"2016-06-24T00:00:00"}