... of engineering structures, with high potential for industrial application. Design/methodology/approach Two hybrid crack growth path prediction models are proposed, integrating convolutional neural networks (CNN) and recurrent neural networks (RNN). The first is the Densely Connected Convolutional Networks...

... platform. The use of Adam's optimizer in this research had better performance than other optimizers. Originality/value This paper presents a framework based on a lightweight convolutional neural network for nondestructive monitoring of structural health to optimize the calculation costs and reduce...

..., this paper proposes a multichannel and multi-task convolutional neural network (MCMT-CNN) model. Findings Experiments were conducted on a bearing dataset containing different fault types and severities and a gearbox compound fault dataset. The experimental results show that MCMT-CNN can effectively...