Combustion Quality Evaluation by Burning Noise Analysis

The quality of the burning process can be evaluated by employing different approaches, such as: using electrochemical transducers, by visual examination, or by the analysis of the noise produced by the burning process. This work presents an approach to detect the different burning states in progress, by investigating the sound of the combustion process. These outcomes can then be employed to take decisions to maintain the burning process in an optimal state. Our proposal in this stage provides some encouraging results. The method, with some adjustments, may be implemented on low cost platforms like microcontrollers, due to the reduced computational requirements using the TESPAR DZ features.