Prediction and Estimation of 95% Distillation Point Diesel in Delayed Coking Unit Based on Kernel Partial Least Squares

Journal of System Simulation ›› 2015, Vol. 27 ›› Issue (3): 598-602.

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Prediction and Estimation of 95% Distillation Point Diesel in Delayed Coking Unit Based on Kernel Partial Least Squares

Cheng Jian, Zhang Lingbo, Gu Xingsheng

Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China

Received:2014-04-16 Revised:2014-10-30 Online:2015-03-08 Published:2020-08-20

Abstract

Abstract: In order to save labor cost and time of 95% distillation point of diesel analysis, and improve the efficiency of adjusting the device, an algorithm was proposed to predict 95% distillation point of diesel based on Kernel Partial Least Squares(KPLS), on the basis of studying the process of delayed coking unit and analyzing the main factors related to 95% distillation point of diesel. The experiment results show that this algorithm can deal with the non-linear relationship among the variables effectively and quickly. Furthermore, the results also show that the model based on KPLS is better than that based on partial least squares. So this algorithm can be used to guide production and improve the profit of enterprise in practice.

Key words: 95% distillation point diesel, fractionating tower, partial least squares, kernel partial least squares

CLC Number:

TP301

Cheng Jian, Zhang Lingbo, Gu Xingsheng. Prediction and Estimation of 95% Distillation Point Diesel in Delayed Coking Unit Based on Kernel Partial Least Squares[J]. Journal of System Simulation, 2015, 27(3): 598-602.

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Prediction and Estimation of 95% Distillation Point Diesel in Delayed Coking Unit Based on Kernel Partial Least Squares

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