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Risk-Informed Testing Program for Emergency Diesel Generators

  • Auli Hämäläinen
  • Kalle Jänkälä
  • Jussi Vaurio
Conference paper

Abstract

Risk-informed justification and optimization of surveillance test intervals of standby safety systems based on risk is possible only with sophisticated component models having failure probabilities (unavailabilities) dependent on the intervals. Furthermore, it is necessary to carry out detailed failure cause analysis to determine what fraction of failures may be caused by stresses associated with the startup-demands themselves rather than stresses between the tests while the system is on standby. Failures and defects (critical and incipient failures) also have to be clearly separated in the analysis and in the models. This paper illustrates the issues and solutions with an example applied to emergency diesel generators (EDG) at a nuclear power plant. Extension of test intervals is justified with reduced burden when it has a minor impact on the core damage risk.

Keywords

Critical Failure Failure Probability Fault Tree Test Interval Importance Measure 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Lofgren E V and Thaggard M: Analysis of standby and demand stress failure modes. NUREG/CR-5823, 1992.Google Scholar
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    Pulkkinen U, Huovinen T, Norros L, Mankamo T and Vanhala J: Reliability of diesel generators in the Finnish and Swedish nuclear power plants. Research notes 1070, Technical Research Centre of Finland, 1989.Google Scholar
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    Vesely W E, DeMoss G M, Lofgren E V, Ginzburg T, Samanta P and Boccio J. Evaluation of diesel unavailability and risk effective surveillance test intervals. NUREGICR-4810, USNRC, 1987.Google Scholar

Copyright information

© Springer-Verlag London 2004

Authors and Affiliations

  • Auli Hämäläinen
    • 1
  • Kalle Jänkälä
    • 1
  • Jussi Vaurio
    • 2
  1. 1.Fortum Nuclear Services LtdFortumFinland
  2. 2.Fortum Power and Heat OyLoviisaFinland

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