Advanced Seminar on Common Cause Failure Analysis in Probabilistic Safety Assessment | Proceedings of the ISPRA Course held at the Joint Research Centre, Ispra, Italy, 16–19 November 1987 | ISBN 9780792302681

Advanced Seminar on Common Cause Failure Analysis in Probabilistic Safety Assessment

Proceedings of the ISPRA Course held at the Joint Research Centre, Ispra, Italy, 16–19 November 1987

herausgegeben von Aniello Amendola
Buchcover Advanced Seminar on Common Cause Failure Analysis in Probabilistic Safety Assessment  | EAN 9780792302681 | ISBN 0-7923-0268-0 | ISBN 978-0-7923-0268-1

Advanced Seminar on Common Cause Failure Analysis in Probabilistic Safety Assessment

Proceedings of the ISPRA Course held at the Joint Research Centre, Ispra, Italy, 16–19 November 1987

herausgegeben von Aniello Amendola

Inhaltsverzeichnis

  • Treatment of Common Cause Failures. The Nordic Perspective.
  • Classification of Multiple Related Failures.
  • Design Defences against Multiple Related Failures.
  • Design-Related Defensive Measures against Dependent Failures — ABB ATOM’s Approach.
  • Design Defences against Common Cause/Multiple Related Failure.
  • Measures Taken at Design Level to Counter Common Cause Failures. A Few Comments Concerning the Approach of EDF.
  • Analysis Procedures for Identification of MRF’s.
  • Dependent Failure Modelling by Fault Tree Technique.
  • Treatment of Multiple Related Failures by MARKOV Method.
  • Parametric Models for Common Cause Failures Analysis.
  • Estimation of Parameters of Common Cause Failure Models.
  • Pitfalls in Common Cause Failure Data Evaluation.
  • Experience and Results of the CCF-RBE.
  • Analysis of CCF-DATA-Identification. The Experience from the Nordic Benchmark.
  • Some Comments on CCF-Quantification. The Experience from the Nordic Benchmark.
  • Analysis of Common Cause Failures Based on Operating Experience: Possible Approaches and Results.
  • Multiple Related Failures from the Nordic Operating Experience.
  • The Use of Abnormal Event Data from Nuclear Power Reactors for Dependent Failure Analysis.
  • MRF’s from the Analysis of Component Data.