대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

MLP기반 온라인 센서 고장검출 기법에 관한 연구

A Study on the Design of Sensor Fault Detection System Based on MLP

  • 김동회 (군산대학교 전자정보공학부) ;
  • 김광준 (군산대학교 전자정보공학부) ;
  • 김성호 (군산대학교 전자정보공학부)
  • Kim, Dong-Hoe (School of Electronics and Information Eng., Kunsan National University) ;
  • Kim, Kwang-Jun (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
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Generally, the correlation between the responses of various sensors can be exploited to detect a possible malfunctioning sensor during operation. The sensor fault detection is implemented by using the regression ability of artificial neural networks(ANN). In this work, sensor fault detection scheme based on ANN is proposed. To verify its applicability, simulation study on the water data gathered from Saemangeum measurement stations is executed.

키워드