An autonomous valve stiction detection system based on data characterization

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• 作者：Alexey Zakharov ; Elena Zattoni ; Lei Xie ; Octavio Pozo Garcia ; Sirkka-Liisa J?ms?-Jounela
• 关键词：Valves ; Stiction ; Oscillations ; Control loops ; Fault detection and diagnosis ; Industrial applications
• 刊名：Control Engineering Practice
• 出版年：2013
• 出版时间：November, 2013
• 年：2013
• 卷：21
• 期：11
• 页码：1507-1518
• 全文大小：797 K

文摘

This paper proposes a valve stiction detection system which selects valve stiction detection algorithms based on characterizations of the data. For this purpose, novel data feature indexes are proposed, which quantify the presence of oscillations, mean-nonstationarity, noise and nonlinearities in a given data sequence. The selection is then performed according to the conditions on the index values in which each method can be applied successfully. Finally, the stiction detection decision is given by combining the detection decisions made by the selected methods. The paper ends demonstrating the effectiveness of the proposed valve stiction detection system with benchmark industrial data.