A Hybrid Model for Fault Diagnosis Using Model Based Approaches and Support Vector Machine
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概要
- 論文の詳細を見る
The procedure followed in chemical processes can be expressed in simple terms such as the flow of events from the raw materials to the product. To obtain the best final product, chemical engineers have to consider many factors including environmental effects, stability, economic considerations, and so on. In particular, when considering the stability if the process and the purity of the product, it is very important to detect any faults in the chemical process immediately.In this paper, a hybrid fault diagnosis model based on the signed digraph (SDG) and support vector machine (SVM) is proposed. By means of the system decomposition based on SDG, the local models of each measured variable are constructed and more accurate and fast models are using an SVM, which has no loss of information and shows good performance, in order to obtain the estimated value of the variable, which is then compared with the measured value in order to diagnose the fault. To verify the performance of the proposed model, the Tennessee Eastman (TE) Process was studied and the proposed method was found to demonstrate a good diagnosis capability compared with previous statistical methods.
- 社団法人 化学工学会の論文
- 2006-10-01
著者
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Yoon En
Department Of Chemical And Biological Engineering School Of Chemical And Biological Engineering Seou
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Yoon En
School Of Chemical And Biological Engineering Institute Of Chemical Processes Seoul National Univers
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Lee Chang
School Of Computer Science And Engineering Chung-ang University
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Han Chonghun
Department Of Chemical And Biological Engineering School Of Chemical And Biological Engineering Seou
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Lee Chang
Department Of Chemical And Biological Engineering School Of Chemical And Biological Engineering Seou
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LEE Gibaek
Department of Chemical and Biological Engineering, Chungju National University
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HAN Chonghun
School of Chemical and Biological Engineering, Seoul National University
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Lee Gibaek
Department Of Chemical And Biological Engineering Chungju National University
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Han Chonghun
School Of Chemical And Biological Engineering Seoul National University
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Han Chonghun
School Of Chemical And Biological Engineering Seoul National Univ.
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HAN Chonghun
School of Chemical & Biological Engineering, Seoul National University
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