Modeling of dynamic response of essential oil extraction process

Author

Ismail, Nurlaila ; Tajjudin, Nazurah ; Rahiman, Mohd Hezri Fazalul ; Taib, Mohd Nasir

Author_Institution

Fac. of Electr. Eng., Univ. Teknol. MARA, Shah Alam

fYear

2009

fDate

6-8 March 2009

Firstpage

298

Lastpage

301

Abstract

This paper presents a model of dynamic response of essential oil extraction process using system identification approach. A collection of samples was collected from a pilot plant of essential oil extraction process using steam distillation technique. Input signal for the process is pseudo-random binary sequence (PRBS) and the output is temperature. The sample was separated into training and testing data by using interlacing technique. Based on Auto Regressive Exogenous Input (ARX) model validation, the results showed that partial data will produce adequate model to describe the full dynamic of essential oil extraction process.

Keywords

autoregressive processes; distillation; vegetable oils; auto regressive exogenous input; dynamic response modeling; essential oil extraction process; perfume industry; pseudo-random binary sequence; steam distillation technique; system identification approach; Data mining; Equations; Petroleum; Polynomials; Signal processing; Stochastic systems; System identification; Temperature; Transfer functions; White noise; ARX model; dynamic response; essential oil extraction process; modeling;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing & Its Applications, 2009. CSPA 2009. 5th International Colloquium on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4244-4151-8

Electronic_ISBN

978-1-4244-4152-5

Type

conf

DOI

10.1109/CSPA.2009.5069238

Filename

5069238