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Explicit and implicit Bayesian Network-based methods for the risk assessment of systems subject to probabilistic common-cause failures
6 references·1 citing·23 second hop
Explicit and implicit Bayesian Network-based methods for the risk assessment of systems subject to probabilistic common-cause failures (2020)Explicit and implicit Bayesian Network-ba…Extend GO Methodology to Support Common-Cause Failures Modeling Explicitly by Means of Bayesian Networks (2019)Extend GO Methodology to Supp…Common cause failure model updating for risk monitoring in nuclear power plants based on alpha factor model (2017)Common cause failure model up…A general cause based methodology for analysis of common cause and dependent failures in system risk and reliability assessments (2015)A general cause based methodo…A new method for explicit modelling of single failure event within different common cause failure groups (2012)A new method for explicit mod…Risk assessment and management for supply chain networks: A case study (2009)Risk assessment and managemen…Probabilistic common-cause failures analysis (2008)Probabilistic common-cause fa…Reliability assessment of man‐machine systems subject to probabilistic common cause errors (2024)Reliability assessment of man…A systematic procedure for the incorporation of common cause events into risk and reliability models (1986)The foundations of models of dependence in probabilistic safety assessment (1987)Common cause failure probabilities in standby safety system fault tree analysis with testing—scheme and timing dependencies (2003)Correlation and risk measurement modeling: A Markov-switching mixed Clayton copula approach (2020)Quantitative evaluation of common cause failures in high safety-significant safety-related digital instrumentation and control systems in nuclear power plants (2022)Quantitative Models for Supply Chain Management (1999)Designing and Managing the Supply Chain (2002)Perspectives in supply chain risk management (2006)A fuzzy-based integrated framework for supply chain risk assessment (2014)An enhanced risk assessment framework for business continuity management systems (2016)Simulation-based ripple effect modelling in the supply chain (2017)What every engineer should know about reliability and risk analysis (1993)An integrated method for incorporating common cause failures in system analysis (2004)Uncertainties and quantification of common cause failure rates and probabilities for system analyses (2004)A robust Bayesian approach to modeling epistemic uncertainty in common-cause failure models (2013)Improving the analysis of dependable systems by mapping fault trees into Bayesian networks (2001)Probability, Reliability and Statistical Methods in Engineering Design (2001)Cognitive Reliability and Error Analysis Method (CREAM) (1998)Event-tree analysis using binary decision diagrams (2000)The bowtie method: A review (2016)Incorporating organizational factors into Probabilistic Risk Assessment (PRA) of complex socio-technical systems: A hybrid technique formalization (2008)A multiphase dynamic Bayesian networks methodology for the determination of safety integrity levels (2016)Simulation-Informed Probabilistic Methodology for Common Cause Failure Analysis (2018)
this work references cited by second hop

References

  • 2009Risk assessment and management for supply chain networks: A case study324 cited
  • 2015A general cause based methodology for analysis of common cause and dependent failures in system risk and reliability assessments60 cited
  • 2012A new method for explicit modelling of single failure event within different common cause failure groups37 cited
  • 2008Probabilistic common-cause failures analysis28 cited
  • 2019Extend GO Methodology to Support Common-Cause Failures Modeling Explicitly by Means of Bayesian Networks20 cited
  • 2017Common cause failure model updating for risk monitoring in nuclear power plants based on alpha factor model16 cited

Cited by

  • 2024Reliability assessment of man‐machine systems subject to probabilistic common cause errors8 cited

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