1.这篇文章探索了感受野对于1D CNN的影响,基于两个观察,虽然感受野对1D CNN重要,但是性能不对某一个尺寸的感受野敏感;模型表现由最优感受野决定。 2.提出了OS-Block,三层结构,前两层的kernel是1~Pk直接的素数,第三层是1和2,Cover所有整数感受野尺寸。
With the rapid development of deep learning, the massive excellent bearing fault diagnosis methods have emerged. However, most of these methods only focus on local or global features, and as the number of network layers increases, overfitting and a large number of model parameters arise. In ...