Reliability Analysis of Digital Instrumentation and Control Systems
32nd Annual CNS Conference - 2011 June 05-08

Presented at:
32nd Annual CNS Conference
2011 June 05-08
Niagara Falls, Canada
Session Title:
Process Systems, Measurement, I & C, and Chemistry

Arun Veeramany (Department of Civil and Environmental Engineering, University of Waterloo)
Mahesh Pandey (University of Waterloo)


The NUREG-CR/6942 technical report proposed a Markov state transition model for the main feedwater valve (MFV) controller system as part of a Probabilistic Risk Assessment (PRA) of Digital Feedwater Control System (DFWCS). The proposed model extends the Markov model to allow the use of non-exponential distribution in the time to next output of the controller system responsible for maintaining the water level. This case study demonstrates the general application of semi-Markov process model for digital instrumentation and control systems. System failure probability and mission reliability measures are determined.

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