WSAFormer-DFFN: A model for rotating machinery fault diagnosis using 1D window-based multi-head self-attention and deep feature fusion network. - Qingzhe Wei; Xincheng Tian; Long Cui; Fuquan Zheng; Lida Liu (Eng. Appl. Artif. Intell., 2023)

A self-attention based contrastive learning method for bearing fault diagnosis. - Long Cui; Xincheng Tian; Qingzhe Wei; Yan Liu 084 (Expert Syst. Appl., 2024)