A novel time-frequency Transformer based on self-attention mechanism and its application in fault diagnosis of rolling bearings

Yifei Ding, Minping Jia, Qiuhua Miao +1

The scope of data-driven fault diagnosis models is greatly extended through deep learning (DL). However, the classical convolution and recurrent structure have their defects in com…