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Oscillation Source Detection for Large-Scale Chemical Process with Interpretative Structural Model

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 455))

Abstract

In large-scale chemical processes involving a number of control loops, oscillations propagate to many units through control loops and physical connections between units. The propagation may result in plant-wide oscillation that is closely related to product quality, costs and accident risk. In order to detect the root cause of the plant-wide oscillation, this paper presents a new method that is based on interpretative structural model (ISM) that is established according to process topology. Firstly, a topological graph is obtained by considering process prior knowledge of the flowchart. Then according to the graph the adjacency matrix and reachability matrix are calculated. After that a multilayered structure of all control loops is obtained by establishing ISM. Thus the root causes of the oscillations are determined by propagation analysis. The superiority of this method is that the oscillation source can be effectively determined and clearly interpreted by the ISM. An application to a typical process from Eastman Chemical Company plant is provided to illustrate the methodology.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (Nos. 61304141, 61573296), Fujian Province Natural Science Foundation (No. 2014J01252), the Specialized Research Fund for the Doctoral Program of Higher Education of China (No. 20130121130004), the Fundamental Research Funds for the Central Universities in China (Xiamen University: Nos. 201412G009, 2014X0217, 201410384090, 2015Y1115) and the China Scholarship Council award.

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Correspondence to Sun Zhou .

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Wang, Y., Hu, X., Zhou, S., Ji, G. (2017). Oscillation Source Detection for Large-Scale Chemical Process with Interpretative Structural Model. In: Balas, V., Jain, L., Zhao, X. (eds) Information Technology and Intelligent Transportation Systems. Advances in Intelligent Systems and Computing, vol 455. Springer, Cham. https://doi.org/10.1007/978-3-319-38771-0_43

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  • DOI: https://doi.org/10.1007/978-3-319-38771-0_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-38769-7

  • Online ISBN: 978-3-319-38771-0

  • eBook Packages: EngineeringEngineering (R0)

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