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Analyse de sensibilité avec FMEA×Analyse par Arbre de Défaillance (FTA)×
DomainePlans d'expériencesFiabilité
FamilleProcess / pipelineProcess / pipeline
Année d'origine1990s–2000s (systematic integration)1981
Auteur d'origineGrumman Aircraft (FMEA origin, 1950s); sensitivity analysis integration developed by reliability engineering communityVesely et al. (US NRC Fault Tree Handbook)
TypeHybrid risk analysis and sensitivity techniqueDeductive top-down failure analysis
Source fondatriceStamatis, D. H. (2003). Failure Mode and Effect Analysis: FMEA from Theory to Execution (2nd ed.). ASQ Quality Press. ISBN: 978-0873895989Vesely, W. E., Goldberg, F. F., Roberts, N. H., & Haasl, D. F. (1981). Fault Tree Handbook (NUREG-0492). U.S. Nuclear Regulatory Commission. link ↗
AliasSA-FMEA, FMEA with sensitivity analysis, sensitivity-enhanced FMEA, SA-integrated FMEAFTA, Fault Tree Method, Top-Down Reliability Analysis, Hata Ağacı Analizi
Apparentées63
RésuméSensitivity analysis with failure mode and effects analysis (SA-FMEA) combines classical FMEA risk scoring with systematic sensitivity analysis to determine which input parameters — severity, occurrence, and detectability ratings — drive the Risk Priority Number (RPN) most strongly. This integration helps teams focus improvement resources where they matter most, revealing how uncertain or variable scoring assumptions propagate into final risk rankings.Fault Tree Analysis (FTA) is a top-down, deductive reliability method that begins with an undesired top-level failure event and systematically traces backward through chains of contributing causes using Boolean logic gates (AND, OR). First formalized by Watson at Bell Telephone Laboratories in 1961 and later standardized by Vesely, Goldberg, Roberts, and Haasl in the landmark 1981 NRC Fault Tree Handbook, FTA has become a cornerstone of quantitative risk assessment in nuclear, aerospace, and industrial safety engineering.
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ScholarGateComparer des méthodes: Sensitivity analysis with failure mode and effects analysis · Fault Tree Analysis. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare