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 Database.
A Stochastic Model for Piping Failure Frequency Analysis Using OPDE Data
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Yuan, X., Pandey, M. D., and Riznic, J. (June 9, 2009). "A Stochastic Model for Piping Failure Frequency Analysis Using OPDE Data." ASME. J. Eng. Gas Turbines Power. September 2009; 131(5): 052901. https://doi.org/10.1115/1.3094027
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