文章基本信息

标题：Intelligent fault isolation of nonlinear processes with expert guidance
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作者：Song Fan ; Wenyou Du ; Yingwei Zhang 等
期刊名称：Advances in Mechanical Engineering
印刷版ISSN：1687-8140
电子版ISSN：1687-8140
出版年度：2017
卷号：9
期号：4
DOI：10.1177/1687814017697627
语种：English
出版社：Sage Publications Ltd.
摘要：In this article, a semi-supervised learning model with local and global regularization is built for process monitoring. In current approaches, models are built based on historical data without expert guidance. The main contributions are as follows: (1) a new intelligent learning method for historical data with expert guidance is proposed. (2) A new similarity measurement for data with high dimensions is proposed. (3) Fault isolation approach is proposed based on the intelligent learning method. Fault isolation is considered as classification problem. In this article, the fault is isolated according to the extracted fault feature. The proposed method is applied to a robotic-arm-based spray marking system. The simulation results show the effectiveness of the proposed method.
关键词：Semi-supervised learning model; regularization framework; local spline regression; fault isolation