Darryl J. Wrest

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Recently, the use of Autoassociative Neural Networks (AANNs) to perform on-line calibration monitoring of process sensors has been shown to be not only feasible but practical. This paper summarizes the results of applying AANNs to instrument surveillance and calibration monitoring at Florida Power Corporation’s Crystal River #3 Nuclear Power Plant and at(More)
The approach to instrument surveillance and calibration verification (ISCV) through plant wide monitoring proposed in this paper is an autoassociative neural network (AANN) which will utilize digitized data presently available in the Safety Parameter Display computer system from Florida Power Corporations Crystal River #3 nuclear power plant. An(More)
The approach to instrument surveillance and calibration verification (ISCV) through plant wide monitoring proposed in this paper is the use of an autoassociative neural network (AANN) which will utilize digitized data presently available in the Safety Parameter Display computer system from Florida Power Corporations Crystal River #3 nuclear power plant. An(More)
The intelligent approach to instrument surveillance and calibration verification described here was developed for use in nuclear power plants utilizing digitized data available in the Plant Computer. Data from Florida Power Corporations Crystal River #3 Nuclear Power Plant was recorded and applied to a five-layer autoassociative neural network (AANN) which(More)
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