Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Application of Sensor Fault Detection Method to Water Measurement System

센서 고장 검출 기법의 수질 계측 시스템에의 적용

  • 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)
  • 이영삼 (군산대학교 전자정보공학부) ;
  • 한윤종 (군산대학교 전자정보공학부) ;
  • 김성호 (군산대학교 전자정보공학부)
  • Published : 2003.07.21
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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 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.

Keywords