Research on fault diagnosis of motor bearings based on one-dimensional convolutional neural network based on improved activation function
REN Dawei
ZHOU Shuhao
LUN Shuxian
LI Ming
Abstract：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.
Keywords：activation functionone-dimensional convolutional neural networkmotor bearing fault diag-nosis
Publication Date：2024-03-15
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 74-80 )