대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2002년도 하계학술대회 논문집 D
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- Pages.2268-2271
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- 2002
AANN 기법을 이용한 온-라인 센서 고장 검출 알고리즘 개발에 관한 연구
A Study on the Design of Sensor Fault Detection System Using AANN(AutoAssociative Neural Network)
- Han, Yun-Jong (School of Electronics and Information Eng., Kunsan National University,) ;
- Bae, Sang-Wook (Dept. of Control & Instrumentation Eng., Kyungil University) ;
- Kim, Sung-Ho (School of Electronics and Information Eng., Kunsan National University,)
- 발행 : 2002.07.10
초록
NLPCA(Nonlinear principal component analysis is a novel technique for multivariate data analysis, similar to the weil-known method of principal component analysis. NLPCA operates by a feedforward neural network called AANN(AutoAssociative Neural Network) which performs the identity mapping. In this work, a sensor fault defection system based on NLPCA is presented. To verify its applicability, simulation study on the data supplied from Saemangeum measurement stations is executed.
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