Journal of the Korean Institute of Intelligent Systems (한국지능시스템학회논문지)

Korean Institute of Intelligent Systems (한국지능시스템학회)
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A Study on a Neural Network-Based Feed Identification Method in Crude Distillation Unit

신경회로망을 이용한 원유정제공정에서의 조성식별방법에 관한 연구

  • 이인수 (상주대학교 전자전기공학부) ;
  • 이현철 (서울대학교 제어계측기술연구센터) ;
  • 박상진 (동국대학교 화학공학과) ;
  • 이의수 (동국대학교 화학공학과)
  • Published : 2000.10.01
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Abstract

In this paper, we propose a feed identification method using neural network to predict feed in crude distillation unit. The proposed FINN(feed identifier by neural network) is functionally composed of two modes-training mode and prediction mode. Also, we implement a neural network-based soft sensor system using Borland C++(3.0) Builder. The effectiveness of the proposed neural network-based feed identification method is shown by simulation results.

본 논문에서는 원유정제공정에서의 조성을 효율적으로 예측하기 이한 신경회로망을 이용한 조성식별방법을 제시한다. 제시한 신경회로망을 이용한 조성식별기(FINN)는 학습모드와 예측모드로 구성된다. 또한 Borland C++(3.0)빌드로 신경회로망 원료자동분석 소프트센서 시스템을 구현하였다. 그리고 시뮬레이션을 통해 제안한 신경회로망을 이용한 조성식별방밥의 유용성을 확인하였다.

Keywords

References

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