Naslov
Software Sensors for Monitoring of a Solid Waste Composting Process

Autori
Bolf, Nenad ; Kopčić, Nina ; Briški, Felicita ; Gomzi, Zoran

Izvornik
Chemical Papers (2585-7290) 61 (2007), 2; 98-102

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
software sensor; neural network; modeling; solid waste composting; aerobic bioreactor

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Kemijsko inženjerstvo

POVEZANOST RADA