Abstract:A multivariate statistical pattern recognition system for reactor noise analysis is presented. The basi3 of the system is a transformation for decou-' pling correlated variables and algorithms for inferring probability density functions. The system is adaptable to a variety of statistical properties of the data, and it ha3 learning, tracking, updating, and dlmensionelity reduction capabilities. System design emphasizes control of the false-alarm rate. Its abilities to learn normal patterns and to recognize dev… Show more
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