Abstract:Data-driven intelligent diagnosis method has been widely used in mechanical equipment fault identification. However, the data set imbalance is still one of the critical problems affecting the effect of intelligent diagnosis in the practical work of rotating machinery. To solve the problem of fault identification of rolling bearings with imbalanced data sets, a rolling bearing intelligent diagnosis method based on the ConVAE-CNN model was proposed in this paper. In this method, a convolutional variational autoe… Show more
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