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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
Published in:
Eng. Appl. Artif. Intell. (2023)
Keyphrases
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fault diagnosis
rotating machinery
fault detection
bp neural network
high level
computational intelligence
neural network
rbf neural network
denoising
expert systems
model selection
training data
learning algorithm
genetic algorithm
machine learning
chemical process
real time