An Integrated Approach to Oscillation Propagation Identification and Source Locating in Process Multi-loop Systems  

作　　者：曹稼斌 张亮 郑建荣 夏春明 

机构地区：[1]Department of Mechanical Engineering, East China University of Science and Technology, Shanghai 200237, China

出　　处：《Chinese Journal of Chemical Engineering》2011年第6期999-1008,共10页中国化学工程学报（英文版）

基　　金：Supported by the National Natural Science Foundation of China （60974061）.

摘　　要：An integrated method for identifying the propagation of multi-loop process oscillations and their source location is proposed in this paper. Oscillatory process loop variables are automatically selected based on the component-related ratio index and a mixing matrix, both of which are obtained in data preprocessing by spectral independent component analysis. The complex causality among oscillatory process variables is then revealed by Granger causality test and is visualized in the form of causality diagram. The simplification of causal connectivity in the diagram is performed according to the understanding of process knowledge and the final simplest causality diagram, which represents the main oscillation propagation paths, is achieved by the automated cutting-off thresh-old search, with which less significant causality pathways are filtered out. The source of the oscillation disturbance can be identified intuitively through the final causality diagram. Both simulated and real plant data tests are presented to demonstrate the effectiveness and feasibility of the proposed method.为识别多环过程摆动和他们的来源地点的繁殖的一个综合方法在这份报纸被建议。摆动的进程循环变量自动地基于部件相关的比率索引和一个混合矩阵被选择，哪个在数据预处理被获得由光谱独立部件分析。在摆动的过程变量之中的复杂诱发性然后被 Granger 诱发性测试揭示并且在诱发性图形式被设想。在图的原因的连接的简化根据理解知识和最后的最简单的诱发性图，代表主要摆动繁殖路径，被自动化切断的阀值搜索，与更少，重要诱发性小径被滤出完成过程被执行。摆动骚乱的来源能通过最后的诱发性图直觉地被识别。模仿了，真实植物数据测试被介绍表明建议方法的有效性和可行性。

关 键 词：multi-loop system process oscillation spectral independent component analysis Granger causality test causality diagram propagation path simplification source locating 

分 类 号：TP393[自动化与计算机技术—计算机应用技术] TB533.2[自动化与计算机技术—计算机科学与技术]