Conference Proceedings Paper
APPLICATION OF BAYES METHOD IN EVALUATION OF ROP/NOP TRIP SETPOINT
37th Annual CNS Conference - 2017 June 04-07
D. Serghiuta (CNSC)
J. Tholammakkil (CNSC)
A. O'Hagan (Sheffield University)
D.A. Stephens (McGill University)
This paper provides an overview of a Bayesian statistical framework (SF) and software developed under a research project initiated by the Canadian Nuclear Safety Commission (CNSC) to enhance the capability for regulatory independent evaluation of effectiveness of ROP/NOP installed trip setpoint within a risk-informed decision making (RIDM) process.
The Bayesian SF has been designed to estimate the functional failure distributions for a ROP/NOP system with fixed design control variables (number of detectors, location of detectors and value of trip setpoint). Specifically, the Bayesian SF should answer the question: “What is the estimated frequency of NOP system (functional) failure and the uncertainty around that estimate?”
Individual Conference-Paper Copies (Electronic Where Available):
- For CNS members, the first 5 copies per calendar year are free, and additional copies are $10 each.
- For non-members, the price is $25 for the first Conference-paper copy in a request, and $10 each for additional copies of papers in the same conference and in the same request.
- Contact the CNS office to order reprints.