An Improved Convolutional-Neural-Network-Based Fault Diagnosis Method for the Rotor–Journal Bearings System

An Improved Convolutional-Neural-Network-Based Fault Diagnosis Method for the Rotor–Journal Bearings System

More layers in a convolution neural network (CNN) means more computational burden and longer training time, resulting in poor performance of pattern recognition. In this work, a simplified global information fusion convolution neural network (SGIF-CNN) is proposed to improve computational efficiency...

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Bibliographic Details
Main Authors:	Honglin Luo, Lin Bo, Chang Peng, Dongming Hou
Format:	Article
Language:	English
Published:	MDPI AG 2022-06-01
Series:	Machines
Subjects:	rotor–journal bearings system fault diagnosis convolutional neural network simplified global information fusion CNN
Online Access:	https://www.mdpi.com/2075-1702/10/7/503

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