Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 9 of 9 for “"Risk-informed decision making"”.
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Contributions to risk-informed decision making
Risk-informed decision-making (RIDM) is a formal process that assists stakeholders make decisions in the face of uncertainty. At MIT, a tool known as the Analytic Deliberative Decision Making Process (ADP) has been under development for a number of years to provide an efficient framework for …
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Including model uncertainty in risk-informed decision-making
… uncertainties can have a significant impact on decisions regarding licensing basis changes. We present a methodology to identify basic events in the risk assessment that have the potential to change the decision and are known to have significant model uncertainties. Because we work with basic …
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Criteria for assessing the quality of nuclear probabilistic risk assessments
The final outcome of a nuclear Probabilistic Risk Assessment (PRA) is generally inaccurate and imprecise. This is primarily because not all risk contributors are addressed in the analysis, and there are state-of-knowledge uncertainties about input parameters and how models should be constructed. In …
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Framework for risk informed performance based regulation for nuclear power plants
… of policies and rules that promote the use of risk informed decision making in the regulatory process. These include Safety Goals policy, the PRA policy, the Backfit Rule and the Maintenance Rule where the latter promotes performance rather than prescription based regulations. In addition the …
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Aircraft Bird Strike Risk Prediction Using Machine Learning and Analytic Hierarchy Process
… Atmospheric Administration alongside bird strike risk using Long Short-Term Memory Recurrent Neural Network (LSTM-RNN), XGBoost regression tree, and Bayesian network algorithms. Five years of bird strike data from four geographically diverse airfields served as the target risk variable, …
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Development and application of new system reliability analysis methods for complex infrastructure systems
… elusive, leading to unknown accuracies in the risk assessment. Such a system reliability analysis is computationally challenging, especially when the definition of the system event is complex, the system has a large number of components, or the component events have significant statistical …
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Methods for optimization of neutron detector performance in nuclear power plants
… along with genetic algorithm optimization, risk estimation, and the fault semantic network (FSN) are studied. Detector models have been developed using circuit models to represent detector behavior in aged conditions. For cases with preprocessed measured data, initial conditions are set to …
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Methodologies to strategize the utilization of modeling and simulation for probabilistic risk assessment (PRA) of nuclear power plants: Applications in fire PRA
Based on the literature, one way to conceptualize risk is: Risk={A,C,P_f^*,P(P_f^* ) | U^',K}, where A represents events including initiating events and scenarios; C denotes the consequences of these events (A); P_f^* stands for the estimated frequency of occurrences of events A; P(P_f^* ) is a …