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
September 2009

Prepared by:
Jovica Riznic
Canadian Nuclear Safety Commission (CNSC)
Ottawa, Ontario, Canada

Abstract

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.

To obtain a copy of the abstract's document, contact the CNSC. When contacting the CNSC, please provide the title and date of the abstract.

Date modified: