WSAFormer-DFFN: A model for rotating machinery fault diagnosis using 1D window-based multi-head self-attention and deep feature fusion network - researchr publication

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Qingzhe Wei, Xincheng Tian, Long Cui, Fuquan Zheng, Lida Liu. WSAFormer-DFFN: A model for rotating machinery fault diagnosis using 1D window-based multi-head self-attention and deep feature fusion network. Eng. Appl. of AI, 124:106633, 2023. [doi]

Abstract is missing.

runs on WebDSL