USE OF A BAYESIAN REASONING IN SAFETY AND RELIABILITY DECISIONS-THREE EXAMPLES

Bayes' theorem is used to quantify the impact of new evidence in three energy-related decision problems. The first problem concerns the risk of radioactivity release during the railroad transport of spent nuclear fuel. This history of shipments thus far is shown to make it highly unlikely that the frequency of release is on the order of 0.001 or greater per shipment. The second and third applications involve predicting the availability performance of new generations of turbine blades. Bayes' theorem is demonstrated as a means for incorporating in the prediction the limited operational data on the new blades along with the experience of the earlier generation and the knowledge of the design changes.

  • Corporate Authors:

    American Nuclear Society

    244-a E Ogden Avenue
    Hinsdale, IL  USA  60521
  • Authors:
    • Kaplan, S
    • Garrick, B J
  • Publication Date: 1979-7

Media Info

  • Pagination: p. 231-245
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00303259
  • Record Type: Publication
  • Source Agency: Energy Research Abstracts
  • Files: TRIS
  • Created Date: Jan 30 1980 12:00AM