Title :
A cellular neural networks approach to flame image analysis for combustion monitoring
Author :
Bertucco, L. ; Fichera, A. ; Nunnari, Giuseppe ; Pagano, A.
Author_Institution :
Dipt. Elettrico, Elettronico e Sistemistico, Catania Univ., Italy
Abstract :
Proposes an approach based on cellular neural networks (CNNs) to the analysis of flame images for real time monitoring of combustion process in a waste incinerator. The use of CNNs analysis is dictated by the high images sampling rate, which was necessary due to the fast dynamics of the process under study. The dynamical behavior of the descriptors of the images processed by the CNNs was also studied and the results of this analysis are also presented
Keywords :
cellular neural nets; combustion; computerised monitoring; image sampling; process monitoring; waste-to-energy power plants; combustion monitoring; dynamical behavior; flame image analysis; high images sampling rate; real time monitoring; waste incinerator; Cellular neural networks; Combustion; Fires; Image analysis; Image sampling; Image sequence analysis; Incineration; Monitoring; Pollution measurement; Process control;
Conference_Titel :
Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on
Conference_Location :
Catania
Print_ISBN :
0-7803-6344-2
DOI :
10.1109/CNNA.2000.877371
