期刊
JOURNAL OF PROCESS CONTROL
卷 41, 期 -, 页码 26-34出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jprocont.2016.02.006
关键词
Canonical correlation analysis; Incipient multiplicative fault detection; Statistical local approach
资金
- China Scholarship Council (CSC)
- National Natural Science Foundation of China [61273159]
Recent research has emphasized the successful application of canonical correlation analysis (CCA) to perform fault detection (FD) in both static and dynamic processes with additive faults. However, dealing with multiplicative faults has not been as successful. Thus, this paper considers the application of CCA to deal with the detection of incipient multiplicative faults in industrial processes. The new approaches incorporate the CCA-based FD with the statistical local approach. It is shown that the methods are effective in detecting incipient multiplicative faults. Experiments using a continuous stirred tank heater and simulations on the Tennessee Eastman process are provided to validate the proposed methods. (C) 2016 Elsevier Ltd. All rights reserved.
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