Abstract
This paper presents an application method of trend analysis for decision support in the control action of divided addition of stabilizer in suspension polymerization. The proposed method can extract segments online from time-series temperature data, and it is shown that segments extracted by appropriate setting of thresholds can give us information useful for determination of timing of the second addition of suspension stabilizer. Moreover, it is seen that dynamic analysis of slope of extracted segments can provide us with information relevant to unfavorable behavior of droplets in a plain form. It is demonstrated that the dynamic analysis of segments is also useful for prevision of reactor fouling.
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Matsumoto, H., Honda, M., Kuroda, C. (2008). Trend Analysis for Decision Support in Control Actions of Suspension Polymerization. In: Lovrek, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2008. Lecture Notes in Computer Science(), vol 5179. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85567-5_4
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DOI: https://doi.org/10.1007/978-3-540-85567-5_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85566-8
Online ISBN: 978-3-540-85567-5
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