The goal of the present paper is to characterise the working condition of a combustion system through the analysis of the flame dynamics. Our approach is intended to identify the working conditions of the combustion plant by the analysis of the signals which are provided by specific sensors (in this case we used a fast digital camera) and whose fluctuations are related to the kind of fuel being used. In order to classify the different conditions, we applied a new analysis technique based on non-linear dynamics which resulted more accurate for this application than others used in similar studies. The main conclusion is that the proposed approach, based on the description of the morphology evolution of the attractor in its unfolding process, has a very interesting potential for identifying the behaviour of a system. An important aspect to be underlined is that this method required a low computational cost. In fact we used only a small area of the image (just 1 pixel), relatively short image sequence (less than 4000 frames in less than 5 seconds) and the calculations to obtain the morphological parameters resulted very short.
|Publication status||Published - 1999|
|Event||36th Heat Transfer and Fluid Mechanics Institute - Sacramento, United States|
Duration: 1 Jan 1999 → …
|Conference||36th Heat Transfer and Fluid Mechanics Institute|
|Period||1/1/99 → …|
All Science Journal Classification (ASJC) codes
Annunziato, M., Bertini, I., Piacentini, M., & Pannicelli, A. (1999). Flame dynamics characterization by chaotic analysis of image sequences. Paper presented at 36th Heat Transfer and Fluid Mechanics Institute, Sacramento, United States.