期刊
CONTROL ENGINEERING PRACTICE
卷 46, 期 -, 页码 51-58出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.conengprac.2015.10.006
关键词
Canonical correlation analysis; Residual generation; Fault detection; Alumina evaporation process
资金
- China Scholarship Council (CSC)
- National Natural Science Foundation of China [61273159]
In this paper, canonical correlation analysis (CCA)-based fault detection methods are proposed for both static and dynamic processes. Different from the well-established process monitoring and fault diagnosis systems based on multivariate analysis techniques like principal component analysis and partial least squares, the core of the proposed methods is to build residual signals by means of the CCA technique for the fault detection purpose. The proposed methods are applied to an alumina evaporation process, and the achieved results show that both methods are applicable for fault detection, while the dynamic one delivers better detection performance. (C) 2015 Published by Elsevier Ltd.
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