Research on fault diagnosis of motor bearings based on one-dimensional convolutional neural network based on improved activation function
This paper introduces a fault diagnosis method for motor bearings based on a one-dimensional convolutional neural network with an improved activation function.Firstly,the structure of one-dimensional convolutional neural network is introduced.Then the improvement of the activation function is introduced.Finally,three kinds of one-dimensional convolutional neural networks are used to classify the faults of motor bearings through simulation experiments.
万方数据
维普
