Identification of the state-space dynamics of oil flames through computer vision and modal techniques
This paper presents a new approach to estimate unstable flame dynamics. Computer vision processed images from CCD cameras provide a discriminant characteristic vector. A four-degree-of-freedom second order model is identified through Operational Modal Analysis. Unstable and stable flame models are cross-validated through spectral analysis. The method is capable of predicting flame extinction.
discriminant characteristic vectors operational modal analysis flame instabilization characterizing artificial intelligence image processing