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

548 citations · 548 across the 1 of their papers we have counts for

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1 paper

cs.AI2021★ 548 cited

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…