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ID 15391
JaLCDOI
Sort Key
4
フルテキストURL
著者
島田 行恭 Department of Mechanical Engineering
鈴木 和彦 Department of Mechanical Engineering Kaken ID publons researchmap
佐山 隼敏 Department of Mechanical Engineering
抄録
Neural nets have recently become the focus of much attention, largely because of their wide range of complex and nonlinear problems. This paper presents a new integrated approach using neural networks for diagnosing process failures. The fault propagation in process is modeled by causal relationships from the fault tree and its minimal cut sets. The measurement patterns required for training and testing the neural network were obtained from fault propagation model. The network is able to diagnose even in the presence of malfunction of certain sensors. We demonstrate via a nitric acid cooler process how the neural network can learn and successfully diagnose the faults.
出版物タイトル
Memoirs of the Faculty of Engineering, Okayama University
発行日
1992-11-25
27巻
1号
出版者
Faculty of Engineering, Okayama University
出版者(別表記)
岡山大学工学部
開始ページ
33
終了ページ
44
ISSN
0475-0071
NCID
AA10699856
資料タイプ
紀要論文
OAI-PMH Set
岡山大学
言語
English
論文のバージョン
publisher
NAID
Eprints Journal Name
mfe