Figure 2
From: Wave based damage detection in solid structures using spatially asymmetric encoder–decoder network
Conceptual explanation of the proposed crack detection model with 1D-CNN detector. (A) Diagram of a 1D-CNN that transforms a discretized wave input and produces a discrete feature sequence. (B) Internal STRUCTURE of a 1D-CNN layer, consisting of a trainable weight \({W}^{\left(h\right)}\), a bias \({b}^{\left(h\right)}\). Activation function is represented by \(\sigma\). C. Diagram of the complete structure of the proposed model.
