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Design procedure of deep learning models. FNN makes predictions based on 1-D statistical features extracted from multiple windows, and RNN predict the health states based on the 2-D features of each window. CNN learns the deep features from the 2D spectrogram input to predict the health states. 1D one-dimensional, 2D two-dimensional
