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A bearing fault diagnosis model based on CNN with wide convolution kernels
Intelligent fault diagnosis of bearings is an essential issue in the field of health management and the prediction of rotating machinery systems. The...
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A fault diagnosis network based on domain adversarial learning and distribution matching for rotating machine vibration signal with noise and across-load conditions
In the practice of deep learning-based rotating machinery fault diagnosis method, how to improve the accuracy of cross-working condition diagnosis...