Efficient federated convolutional neural network with information fusion for rolling bearing fault diagnosis

Zehui Zhang; Xiaobin Xu; Wenfeng Gong; Yu‐Wang Chen; Haibo Gao

doi:10.1016/j.conengprac.2021.104913

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Efficient federated convolutional neural network with information fusion for rolling bearing fault diagnosis

Zehui Zhang Xiaobin Xu Wenfeng Gong Yu‐Wang Chen Haibo Gao

Year: 2021 Journal: Control Engineering Practice Vol: 116 Pages: 104913-104913 Publisher: Elsevier BV

DOI: 10.1016/j.conengprac.2021.104913

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Keywords:

Overfitting Dropout (neural networks) Computer science Fault (geology) Convolutional neural network Artificial intelligence Machine learning Artificial neural network Deep learning Data mining

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Topics

Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Efficient federated convolutional neural network with information fusion for rolling bearing fault diagnosis

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