Learning from Nuclear Accident Experience

Jussi K. Vaurio

Risk Analysis, 1984, vol. 4, issue 2, 103-115

Abstract: Statistical procedures are developed to estimate accident occurrence rates from historical event records, to predict future rates and trends, and to estimate the accuracy of the rate estimates and predictions. Maximum likelihood estimation is applied to several learning models and results are compared to earlier graphical and analytical estimates. The models are based on (1) the cumulative number of operating years, (2) the cumulative number of plants built, and (3) accidents (explicitly), with the accident rate distinctly different before and after an accident. The statistical accuracies of the parameters estimated are obtained in analytical form using the Fisher information matrix. Using data on core damage accidents in electricity producing plants, it is estimated that the probability for a plant to have a serious flaw has decreased from 0.1 to 0.01 during the developmental phase of the nuclear industry. At the same time the equivalent frequency of accidents has decreased from 0.04 per reactor year to 0.0004 per reactor year, partly due to the increasing population of plants.

Date: 1984
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https://doi.org/10.1111/j.1539-6924.1984.tb00940.x

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Persistent link: https://EconPapers.repec.org/RePEc:wly:riskan:v:4:y:1984:i:2:p:103-115

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