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http://dx.doi.org/10.7850/jkso.2006.11.2.092

Application of Sensor Fault Detection Scheme Based on AANN to Risk Measurement System  

Kim Sung-Ho (School of Electronics and Information Engineering, College of Engineering, Kunsan National University)
Lee Young-Sam (School of Electronics and Information Engineering, College of Engineering, Kunsan National University)
Publication Information
The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY / v.11, no.2, 2006 , pp. 92-96 More about this Journal
Abstract
NLPCA(Nonlinear Principal Component Analysis) is a novel technique for multivariate data analysis, similar to the well-known method of principal component analysis. NLPCA operates by a feedforward neural network called AANN(Auto Associative Neural Network) which performs the identity mapping. In this work, a sensor fault detection system based on NLPCA is presented. To verify its applicability, simulation study on the data supplied from risk management system is executed.
Keywords
AANN(Auto Associative Neural Network); Risk Management System; Sensor Fault Detection; Web-monitoring System;
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