Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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A Study on the Design of Sensor Fault Detection System Using AANN(AutoAssociative Neural Network)

AANN 기법을 이용한 온-라인 센서 고장 검출 알고리즘 개발에 관한 연구

  • 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,)
  • 한윤종 (군산대학교 전자정보공학부) ;
  • 배상욱 (경일대학교 제어계측공학과) ;
  • 김성호 (군산대학교 전자정보공학부)
  • Published : 2002.07.10
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Abstract

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.

Keywords