Software sensors for monitoring of a solid waste composting process

Bolf, N., Kopčić, N., Briški, F. and Gomzi, Z. Software sensors for monitoring of a solid waste composting process Chemical Papers, Vol.61, No. 2, 2007, 98-102

Document type: Článok z časopisu / Journal Article
Collection: Chemical papers  

Author(s) Bolf, N.
Kopčić, N.
Briški, F.
Gomzi, Z.
Title Software sensors for monitoring of a solid waste composting process
Journal name Chemical Papers
Publication date 2007
Year available 2007
Volume number 61
Issue number 2
ISSN 0366-6352
Start page 98
End page 102
Place of publication Poland
Publisher Versita
Collection year 2007
Language english
Subject 290000 Engineering and Technology
290600 Chemical Engineering
Abstract/Summary Process identification for composting of tobacco solid waste in an aerobic, adiabatic batch reactor was carried out using neural network-based models which utilized the nonlinear finite impulse response and nonlinear autoregressive model with exogenous inputs identification methods. Two soft sensors were developed for the estimation of conversion. The neural networks were trained by the adaptive gradient method using cascade learning. The developed models showed that the neural networks could be applied as intelligent software sensors giving a possibility of continuous process monitoring. The models have a potential to be used for inferential control of composting process in batch reactors.
 
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