2020
DOI: 10.48550/arxiv.2012.04876
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LSTM recurrent neural network assisted aircraft stall prediction for enhanced situational awareness

Abstract: Since the dawn of mankind's introduction to powered flights, there have been multiple incidents which can be attributed to aircraft stalls. Most modern-day aircraft are equipped with advanced warning systems to warn the pilots about a potential stall, so that pilots may adopt the necessary recovery measures. But these warnings often have a short window before the aircraft actually enters a stall and require the pilots to act promptly to prevent it. In this paper, we propose a deep learning-based approach to pr… Show more

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