Constructing Dynamic Event Trees from Markov Models (PSAM-0369)
Paolo Bucci, Jason Kirschenbaum, Tunc Aldemir, Curtis Lee Smith, Ted Wood · ASME Press eBooks · 2006
In the probabilistic risk assessment (PRA) of process plants, Markov models can be used to model accurately the complex dynamic interactions between plant physical process variables (e.g., temperature, pressure, etc.) and the instrumentation and control system that monitors and manages the process. One limitation of this approach that has prevented its use in nuclear power plant PRAs is the difficulty of integrating the results of a Markov analysis into an existing PRA.