Title :
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
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;
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
DOI :
10.1109/CSPA.2009.5069238
