An Integrated Approach to Oscillation Propagation Identification and Source Locating in Process Multi-loop Systems
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 dat...
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| Published in | Chinese journal of chemical engineering Vol. 19; no. 6; pp. 999 - 1008 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier B.V
01.12.2011
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1004-9541 2210-321X |
| DOI | 10.1016/S1004-9541(11)60083-9 |
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| Summary: | 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. |
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| Bibliography: | 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. 11-3270/TQ multi-loop system, process oscillation, spectral independent component analysis, Granger causality test, causality diagram, propagation path simplification, source locating CAO Jiabin, ZHANG Liang , ZHENG Jianrong , XIA Chunming Department of Mechanical Engineering, East China University of Science and Technology, Shanghai 200237, China ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ISSN: | 1004-9541 2210-321X |
| DOI: | 10.1016/S1004-9541(11)60083-9 |