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ベイジアン故障の木解析×故障モード影響解析 (FMEA)×
分野実験計画法実験計画法
系統Process / pipelineProcess / pipeline
提唱年2001 (BFTA mapping); Bayesian networks: 19881949 (military); widespread industrial adoption 1970s–1980s
提唱者Andrea Bobbio, Luca Portinale et al. (mapping FTA to Bayesian networks); Judea Pearl (Bayesian networks)U.S. Military / NASA (formalized by MIL-P-1629, 1949)
種類Probabilistic reliability / safety analysisProactive risk analysis technique
原典Bobbio, A., Portinale, L., Minichino, M., & Ciancamerla, E. (2001). Improving the analysis of dependable systems by mapping fault trees into Bayesian networks. Reliability Engineering & System Safety, 71(3), 249–260. DOI ↗Stamatis, D. H. (2003). Failure Mode and Effect Analysis: FMEA from Theory to Execution (2nd ed.). ASQ Quality Press. ISBN: 978-0873895989
別名BFTA, Bayesian FTA, Bayesian network fault tree, probabilistic fault tree analysisFMEA, Failure Modes and Effects Analysis, FMECA, Failure Mode Effects and Criticality Analysis
関連56
概要Bayesian Fault Tree Analysis (BFTA) extends classical fault tree analysis by converting the fault tree structure into an equivalent Bayesian network, enabling probabilistic inference in both forward (prediction) and backward (diagnosis) directions. This integration allows analysts to update failure probability estimates with observed evidence, quantify uncertainty explicitly, and identify the most probable root causes of a top-level system failure.Failure Mode and Effects Analysis (FMEA) is a structured, proactive risk management technique used to identify potential failure modes in a system, process, or product design, evaluate their consequences, and prioritize corrective actions before failures occur. Originally developed for the U.S. military in 1949 and later adopted by NASA, automotive, and manufacturing industries, FMEA is now a cornerstone quality-engineering tool embedded in standards such as AIAG-VDA and ISO 9001-aligned processes.
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ScholarGate手法を比較: Bayesian Fault Tree Analysis · Failure Mode and Effects Analysis. 2026-06-18に以下より取得 https://scholargate.app/ja/compare