THERMAL SCIENCE

International Scientific Journal

Mujahed Al-Dhaifallah

,

Kottakkaran Sooppy Nisar

,

Praveen Agarwal

,

Alaa Elsayyad

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

ABSTRACT
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 with-out 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.
KEYWORDS
Hammerstein model, heat exchanger, identification. support vector machine
PAPER SUBMITTED: 2015-10-26
PAPER REVISED: 2015-12-07
PAPER ACCEPTED: 2015-12-10
PUBLISHED ONLINE: 2015-12-19
DOI REFERENCE: https://doi.org/10.2298/TSCI151026204A
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2017, VOLUME 21, ISSUE Issue 6, PAGES [2859 - 2869]
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Modeling and identification of heat exchanger process using least squares support vector machines

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