Unsupervised learning methodology: Application to nuclear power plants

G. Mourot, F. Kratz and N. Heraud

Applied Stochastic Models and Data Analysis, 1993, vol. 9, issue 2, 163-175

Abstract: After a general presentation of the problem of unsupervised learning for diagnosis by pattern recognition, the methodology proposed is described as well as the necessary mathematical tools. This methodology is illustrated by the steam generator of a nuclear power plant.

Date: 1993
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Persistent link: https://EconPapers.repec.org/RePEc:wly:apsmda:v:9:y:1993:i:2:p:163-175

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