期刊
JOURNAL OF PROCESS CONTROL
卷 18, 期 5, 页码 479-490出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jprocont.2007.08.003
关键词
FDI; discriminant analysis; mutual information
This paper presents a fault diagnosis procedure based on discriminant analysis and mutual information. In order to obtain good classification performances, a selection of important features is done with a new developed algorithm based on the mutual information between variables. The application of the new fault diagnosis procedure on a benchmark problem, the Tennessee Eastman Process, shows better results than other well known published methods. (c) 2007 Elsevier Ltd. All rights reserved.
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