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A multi-model architecture based on deep learning for aircraft load prediction

Engineering and Technology

A multi-model architecture based on deep learning for aircraft load prediction

C. Sun, H. Li, et al.

This research presents a groundbreaking deep learning-based aircraft load model that achieves remarkable prediction accuracy and goodness-of-fit using extensive flight data. The study, conducted by authors from Peking University and the Aviation Industry Corporation of China, significantly enhances strain prediction and load model calibration, ultimately reducing the need for ground testing.

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