Fig. 1: Two-phase aircraft load prediction process with deep learning.
From: A multi-model architecture based on deep learning for aircraft load prediction
a Classical method: Establishing the load equations (from strains to load) for each aircraft in the fleet. b Practical method: Using the load model (from flight parameters to load) of one aircraft as the general load model of the fleet. c Our method: Developing the general load model of the fleet through deep learning-based two-phase process: (i) strain prediction from flight parameters and (ii) coefficient calibration for load model.
