标题: A novel process monitoring approach with dynamic independent component analysis
作者: Hsu, Chun-Chin
Chen, Mu-Chen
Chen, Long-Sheng
运输与物流管理系
注:原交通所+运管所

Department of Transportation and Logistics Management
关键字: PCA;ICA;Tennessee Eastman process;TPC;Adjusted outlyingness
公开日期: 1-三月-2010
摘要: A novel process monitoring scheme is proposed to compensate for shortcomings in the conventional independent component analysis (ICA) based monitoring method. The primary idea is first to augment the observed data matrix in order to take the process dynamic into consideration. An outlier rejection rule is then proposed to screen out outliers, in order to better describe the majority of the data. Finally, a rectangular measure is used as a monitoring statistic. The proposed approach is investigated via three cases: a simulation example, the Tennessee Eastman process and a real industrial case. Results indicate that the proposed method is more efficient as compared to alternate methods. Crown Copyright (C) 2009 Published by Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.conengprac.2009.11.002
http://hdl.handle.net/11536/5815
ISSN: 0967-0661
DOI: 10.1016/j.conengprac.2009.11.002
期刊: CONTROL ENGINEERING PRACTICE
Volume: 18
Issue: 3
起始页: 242
结束页: 253
显示于类别:Articles


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