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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| 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. |
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| AbstractList | 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. 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 threshold 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. |
| Author | 曹稼斌 张亮 郑建荣 夏春明 |
| AuthorAffiliation | Department of Mechanical Engineering, East China University of Science and Technology, Shanghai 200237, China |
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| Cites_doi | 10.1021/ie0490280 10.1016/S0959-1524(98)00031-6 10.2307/1912791 10.1093/biomet/71.3.599 10.1016/S0967-0661(03)00108-4 10.2307/2171846 10.1109/TAU.1967.1161901 10.1214/aos/1176344136 10.1080/00036840500405763 10.1016/j.conengprac.2004.12.003 10.1016/j.conengprac.2006.10.011 10.1016/S1004-9541(07)60092-5 10.1016/j.jprocont.2007.07.004 10.1016/S1004-9541(06)60103-1 10.2307/2286348 10.1016/j.jprocont.2007.11.007 10.1109/TCST.2006.883234 |
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| Keywords | spectral independent component analysis source locating causality diagram multi-loop system process oscillation propagation path simplification Granger causality test |
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| Notes | 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 |
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| SubjectTerms | causality diagram Chemical engineering Disturbances Granger causality test Indexes (ratios) multi-loop system Oscillations Preprocessing process oscillation propagation path simplification Simplification Simulation source locating Spectra spectral independent component analysis 因果关系图 定位过程 振动传播 数据预处理 独立分量分析 鉴定 闭环系统 集成方法 |
| Title | An Integrated Approach to Oscillation Propagation Identification and Source Locating in Process Multi-loop Systems |
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