Qualitative Modeling for Fault Diagnosis Based on Physical Knowledge and Historical Operation Data under Normal Operating Conditions
Author:
Affiliation:
1. Department of Chemical Engineering, Tokyo University of Agriculture and Technology
Publisher
Society of Chemical Engineers, Japan
Subject
General Chemical Engineering,General Chemistry
Link
https://www.jstage.jst.go.jp/article/jcej/53/12/53_20we081/_pdf
Reference21 articles.
1. Chiang, L. H., E. L. Russell and R. D. Braatz; Fault Detection and Diagnosis in Industrial Systems, 1st ed., Springer, London, U.K. (2003)
2. De Kleer, J.; “Qualitative Physics: A Personal View,” Readings in Qualitative Reasoning About Physical Systems, 1st ed., pp. 1–10, Morgan Kaufmann Publishers, Inc., San Mateo, U.S.A. (1990)
3. De Kleer, J. and J. S. Brown; “A Qualitative Physics Based on Confluences,” Artif. Intell., 24, 7–83 (1984)
4. Ding, S. X., P. Zhang, A. Naik, E. L. Ding and B. Huang; “Subspace Method Aided Data-Driven Design of Fault Detection and Isolation Systems,” J. Proces. Ctrl., 19, 1496–1510 (2009)
5. Downs, J. J. and E. F. Vogel; “A Plant-Wide Industrial Process Control Problem,” Comput. Chem. Eng., 17, 245–255 (1993)
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