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A Point Process Model for Piping Failure Frequency Analysis Using OPDE Data

[+] Author Affiliations
X.-X. Yuan, M. D. Pandey

University of Waterloo, Waterloo, ON, Canada

J. Riznic

Canadian Nuclear Safety Commission, Ottawa, ON, Canada

Paper No. ICONE16-48078, pp. 433-441; 9 pages
doi:10.1115/ICONE16-48078
From:
  • 16th International Conference on Nuclear Engineering
  • Volume 1: Plant Operations, Maintenance, Installations and Life Cycle; Component Reliability and Materials Issues; Advanced Applications of Nuclear Technology; Codes, Standards, Licensing and Regulatory Issues
  • Orlando, Florida, USA, May 11–15, 2008
  • Conference Sponsors: Nuclear Engineering Division
  • ISBN: 0-7918-4814-0 | eISBN: 0-7918-3820-X
  • Copyright © 2008 by ASME

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 Database.

Copyright © 2008 by ASME
Topics: Pipes , Failure

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