DocumentCode
2541277
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
fYear
2000
fDate
2000
Firstpage
455
Lastpage
459
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CNNA.2000.877371
Filename
877371
Link To Document