A stochastic model for piping failure frequency analysis using OPDE data
An abstract of the article published in:
Journal of Engineering for Gas Turbines and Power (Vol. 131, September 2009)
New York, New York, USA
Canadian Nuclear Safety Commission (CNSC)
Ottawa, Ontario, Canada
The accurate estimation of piping failure frequency is an important task to support the probabilistic risk assessment and risk-informed in-service inspection of nuclear power plants. Although probabilistic models have been reported in the literature to analyze the piping failure frequency, this paper proposes a stochastic point process model that incorporates both a time dependent trend and plant-specific (or cohort) effects on the failure rate. A likelihood based statistical method is proposed for estimating the model parameters. A case study is presented to analyze the Class 1 pipe failure data given in the OPDE.
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