MODELING AND IDENTIFICATION OF HEAT EXCHANGER PROCESS USING LEAST SQUARES SUPPORT VECTOR MACHINES

被引：14

作者：

Al-Dhaifallah, Mujahed ^{[1
]}

Nisar, Kottakkaran Sooppy ^{[2
]}

Agarwal, Praveen ^{[3
]}

Elsayyad, Alaa ^{[1
]}

机构：

[1] King Fahd Univ Petr & Minerals, Syst Engn Dept, Dhahran, Saudi Arabia

[2] Prince Sattam Bin Abdulaziz Univ, Coll Arts & Sci Wadi Addwaser, Dept Math, Al Kharj, Saudi Arabia

[3] Anand Int Coll Engn, Dept Math, Jaipur, Rajasthan, India

来源：

THERMAL SCIENCE | 2017年 / 21卷 / 06期

关键词：

Hammerstein model; heat exchanger; identification; support vector machine; HAMMERSTEIN SYSTEMS; SUBSPACE IDENTIFICATION; OPTIMIZATION;

D O I：

10.2298/TSCI151026204A

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

In this paper, Hammerstein model and non-linear autoregressive with eXogeneous inputs (NARX) model are used to represent tubular heat exchanger. Both models have been identified using least squares support vector machines based algorithms. Both algorithms were able to model the heat exchanger system without requiring any a priori assumptions regarding its structure. The results indicate that the blackbox NARX model outperforms the NARX Hammerstein model in terms of accuracy and precision.

引用

页码：2859 / 2869

页数：11

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