A self-Adaptive CNN with PSO for bearing fault diagnosis

A self-Adaptive CNN with PSO for bearing fault diagnosis

Convolutional neural network (CNN) is now widely applied in bearing fault diagnosis, but the design of network structure or parameter tuning is time-consuming. To solve this problem, a particle swarm optimization (PSO) algorithm is used to optimize the network structure and a self-adaptive CNN is pr...

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Bibliographic Details
Main Authors: Jungan Chen, Jean Jiang, Xinnian Guo, Lizhe Tan
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:Systems Science & Control Engineering
Subjects:
bearing fault diagnosis
deep learning
adaptive cnn
Online Access:http://dx.doi.org/10.1080/21642583.2020.1860153

Internet

http://dx.doi.org/10.1080/21642583.2020.1860153

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