FCM-LSSVM modelling for ethylene loss rate of distillation column with respect to operation conditions Online publication date: Fri, 27-Jul-2018
by Cheng Shao; Xiaoyun Dong; Li Zhu
International Journal of Computer Applications in Technology (IJCAT), Vol. 57, No. 4, 2018
Abstract: Ethylene loss rate is an important evaluation index in ethylene distillation operation, which directly relates to the comprehensive energy efficiency level of ethylene production. Therefore, the accurate prediction of ethylene loss rate is helpful in optimising energy consumption of ethylene production in distillation columns. It is observed that some working conditions such as the composition of cracking gas, unit load and the refrigerant temperature have a great influence on the ethylene loss rate. In this paper, the prediction issue of ethylene loss rate is thus concerned and a new method with FCM-LSSVM is proposed for modelling the ethylene loss rate of distillation column with respect to the operating conditions. The clustering method is employed to classify optimally the ethylene distillation operation database, and then the LSSVM is suggested to establish the ethylene loss rate prediction model with different working conditions. Finally, simulations and comparative analyses for the proposed method are carried out by using real distillation data, which demonstrates that the model set up under multi-conditions would be more effective due to better predictive precision and generalisation ability.
Online publication date: Fri, 27-Jul-2018
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computer Applications in Technology (IJCAT):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com