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A novel time–frequency Transformer based on self–attention mechanism and its application in fault diagnosis of rolling bearings
A novel time–frequency Transformer based on self–attention mechanism and its application in fault diagnosis of rolling bearings
Yifei Ding,M. Jia,Qiuhua Miao,Yudong Cao
2021 · DOI: 10.1016/j.ymssp.2021.108616
Mechanical systems and signal processing · 342 citations
TLDR
A new end-to-end fault diagnosis framework based on time-frequency Transformer is presented in this paper and the superiority of the proposed method is demonstrated in comparison with the benchmark models and other state-of-the-art methods.