Journal of Northeastern University Natural Science ›› 2017, Vol. 38 ›› Issue (11): 1521-1524.DOI: 10.12068/j.issn.1005-3026.2017.11.001

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Nonlinear Prediction Research on Explosion Limits of Propylene Based on Kernel Partial Least Squares

LIU Shu-ting1, GAO Xian-wen1,2   

  1. 1. School of Information & Engineering, Northeastern University, Shenyang 110819, China; 2. State Key Laboratory of Integrated Automation of Process Industries, Northeastern University, Shenyang 110819, China.
  • Received:2016-05-30 Revised:2016-05-30 Online:2017-11-15 Published:2017-11-13
  • Contact: GAO Xian-wen
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Abstract: Prediction on the propylene explosion limit is an effective way to ensure the acrylic acid safety in production. The propylene and mixture volume concentrations have nonlinear relationship between them. Therefore, kernel partial least squares method is used to predict the limits of propylene explosion and the simulation is carried out by the actual data. Simulation results showed that the algorithm was feasible and effective. Compared with those of partial least squares, the prediction results of the proposed method have more remarkable tracking capability. Meanwhile, the propylene explosion region which is from 2.56% to 9.25% is determined. So the problem of propylene explosion can be solved.

Key words: propylene explosion limit, nonlinear, KPLS(kernel partial least squares), explosion region, volume concentration

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