대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2003년도 하계학술대회 논문집 D
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- Pages.2289-2291
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- 2003
센서 고장 검출 기법의 수질 계측 시스템에의 적용
Application of Sensor Fault Detection Method to Water Measurement System
- Lee, Young-Sam (School of Electronics and Information Eng., Kunsan National University) ;
- Han, Yun-Jong (School of Electronics and Information Eng., Kunsan National University) ;
- Kim, Sung-Ho (School of Electronics and Information Eng., Kunsan National University)
- 발행 : 2003.07.21
초록
NLPCA(Nonlinear Principal Component Analysis is a novel technique for multivariate data analysis, similar to the well-known method of principal component analysis. NLPCA can be implemented by a feedforward neural network called AANN (AutoAssociative Neural Network) which performs the identity mapping. In this work, a sensor fault detection system based on NLPCA and Maximum Likelihood Estimation scheme is presented. To verify its applicability, simulation study on the data supplied from Saemangeum measurement stations is executed.
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