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A Kalman Filter Model for Determining Block and Trickle SNM Losses

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Low-Probability High-Consequence Risk Analysis

Part of the book series: Advances in Risk Analysis ((AIRA,volume 2))

Abstract

This paper describes an integrated decision procedure for deciding whether a diversion of SNM has occurred. Two possible types of diversion are considered: a block loss during a single time period and a cumulative trickle loss over several time periods. The methodology used is based on a compound Kaiman filter model. Numerical examples illustrate our approach.

This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore Laboratory under contract No. W-7405-Eng-48.

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References

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Author information

Authors and Affiliations

  1. Operations Research Center, University of California, Berkeley, California, USA

    R. E. Barlow & N. G. Smiriga

  2. Lawrence Livermore National Laboratory, Livermore, California, USA

    M. J. Durst

Authors
  1. R. E. Barlow
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  2. M. J. Durst
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  3. N. G. Smiriga
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Editor information

Editors and Affiliations

  1. Los Alamos National Laboratory, Los Alamos, New Mexico, USA

    Ray A. Waller

  2. U.S. National Science Foundation, Washington, D.C., USA

    Vincent T. Covello

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© 1984 Springer Science+Business Media New York

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Barlow, R.E., Durst, M.J., Smiriga, N.G. (1984). A Kalman Filter Model for Determining Block and Trickle SNM Losses. In: Waller, R.A., Covello, V.T. (eds) Low-Probability High-Consequence Risk Analysis. Advances in Risk Analysis, vol 2. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-1818-8_11

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  • DOI: https://doi.org/10.1007/978-1-4757-1818-8_11

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4757-1820-1

  • Online ISBN: 978-1-4757-1818-8

  • eBook Packages: Springer Book Archive

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