Advanced Flame front Detection in Combustion Processes Using Autoencoder Approach
Federico Ricci,
Francesco Mariani
Abstract:This research explores the detection of flame front evolution in spark-ignition engines using an innovative neural network, the autoencoder. High-speed camera images from an optical access engine were analyzed under different air excess coefficient λ conditions to evaluate the autoencoder’s performance. This study compared this new approach (AE) with an established method used by the same research group (BR) across multiple combustion cycles. Results revealed that the AE method outperformed the BR in accuratel… Show more
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