SCI和EI收录∣中国化工学会会刊

›› 2011, Vol. 19 ›› Issue (6): 999-1008.

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

曹稼斌, 张亮, 郑建荣, 夏春明   

  1. Department of Mechanical Engineering, East China University of Science and Technology, Shanghai 200237, China
  • 收稿日期:2011-02-24 修回日期:2011-06-21 出版日期:2011-12-28 发布日期:2012-04-24
  • 通讯作者: XIA Chunming, E-mail: cmxia@ecust.edu.cn
  • 基金资助:
    Supported by the National Natural Science Foundation of China (60974061)

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

CAO Jiabin, ZHANG Liang, ZHENG Jianrong, XIA Chunming   

  1. Department of Mechanical Engineering, East China University of Science and Technology, Shanghai 200237, China
  • Received:2011-02-24 Revised:2011-06-21 Online:2011-12-28 Published:2012-04-24
  • Supported by:
    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.

关键词: multi-loop system, process oscillation, spectral independent component analysis, Granger causality test, causality diagram, propagation path simplification, source locating

Abstract: 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.

Key words: multi-loop system, process oscillation, spectral independent component analysis, Granger causality test, causality diagram, propagation path simplification, source locating