서지주요정보
인공 신경망을 이용한 증류탑의 고장 진단 = Fault diagnosis of a distillation column using artificial neural network
서명 / 저자 인공 신경망을 이용한 증류탑의 고장 진단 = Fault diagnosis of a distillation column using artificial neural network / 이상규.
저자명 이상규 ; Lee, Sang-Gyu
발행사항 [대전 : 한국과학기술원, 1991].
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소장정보

등록번호

8002553

소장위치/청구기호

학술문화관(문화관) 보존서고

MCE 9130

SMS전송

도서상태

이용가능

대출가능

반납예정일

초록정보

The existing fault diagnosis methods using neural networks learn fault modes from pairs of single-symptom-single-cause only. But in real plants, the effect of a fault propagates continuously from its origin; different sensor values reflect this. In the present study, a new method is suggested which can find the fault origin in spite of dynamic nature of its symptoms since time varying symptoms are used in the training patterns. In order to analyze learning, recall and generalization characteristics of artificial neural networks for process fault diagnosis, a distillation column was studied as an object for fault diagnosis. In the case of time varying symptoms, the measurement patterns for training and testing the artificial neural network were obtained from dynamic simulation programs that model the behavior of the plants. To train the artificial neural network, 25 malfunctions (each malfunction has 50 time varying symptoms) were simulated. Various fault symptoms different from trained symptoms(for examples slow appearance of fault origin, sensor noise, multiple faults etc.) were simulated to test the fault diagnosing capability of trained artificial neural network. The trained artificial neural network could accurately diagnose both single and multiple faults. Therefore the proposed fault diagnosis method can find the exact origin of the fault for which the symptom is propagated continuously with time.

서지기타정보

서지기타정보
청구기호 {MCE 9130
형태사항 vii, 99 p. : 삽도 ; 26 cm
언어 한국어
일반주기 부록 수록
저자명의 영문표기 : Sang-Gyu Lee
지도교수의 한글표기 : 박선원
지도교수의 영문표기 : Sun-Won Park
학위논문 학위논문(석사) - 한국과학기술원 : 화학공학과,
서지주기 참고문헌 : p. 72-76
주제 Distillation.
신경 회로망. --과학기술용어시소러스
증류. --과학기술용어시소러스
Neural networks (Computer science)
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