Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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Design of Intelligent State Diagnosis System for TMS Using

뉴로-퍼지를 이용한 지능형 TMS 상태진단 모델 설계

  • Published : 2001.12.01
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Abstract

We design the intelligent diagnosis system for deciding on operation of TMS Analysis in this paper. We propose the method to model the neuro-fuzzy model for diagnosing the operation state of analyzer by using input and output signals of TMS and Expert's experiment data. Validity of the proposed system is asserted by numerical simulation.

본 연구는 TMS 분석기의 성능 상태를 판정하기 위한 지능형 진단기 설계 방법을 제안하였다. NOx와 SOx를 계측하는 TMS 분석기의 입, 출력 신호와 설비의 유지보수 경험을 이용하여 분석기의 동작 상태를 진단하는 Neruo-Fuzzy 진단 모델을 설계하는 방법을 제안하고, 실험 데이터로 시뮬레이션을 통해, 그 타당성을 입증하였다.

Keywords

References

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