期刊
CONTROL ENGINEERING PRACTICE
卷 21, 期 4, 页码 360-369出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.conengprac.2012.11.013
关键词
Total kernel PLS; Quality-related; Nonlinear process; Fault diagnosis; Contribution rate; Hot strip mill process
资金
- National 973 Project [2010CB731800, 2009CB32602]
- NSFC, PR China [61074084, 61074085, 61273173]
- Beijing Key Discipline Development Program [XK100080537]
- Beijing Natural Science Foundation [4122029]
In this paper, a nonlinear fault diagnosis scheme is established for the hot strip mill process (HSMP). In HSMP, the faults affecting quality index are denoted as quality-related faults, which should be taken care as soon as possible. Projection to latent structures (PLS) is a basic model for quality-related fault detection in linear processes. In the presented work, a total kernel PLS (T-KPLS) model is utilized for modeling and monitoring HSMP, which is a typical nonlinear process. However, diagnosis tools have not been developed aiming at the nonlinear case based on T-KPLS model. Motivated by the successful use of contribution plot for the linear case, a contribution rate plot is proposed to extend contribution plots to the nonlinear case. In the end of this paper, the proposed method is applied to the hot strip mill process effectively. (C) 2012 Elsevier Ltd. All rights reserved.
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