A deep learning method for motor fault diagnosis based on a capsule network with gate-structure dilated convolutions

Motor fault diagnosis is critical to predictive maintenance of electrical motor condition monitoring, whereas the conventional motor fault diagnosis method cannot effectively diagnose conditions caused by motors’ complex structure, non-stationary signals and mechanical big data. To solve the mention...

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