Deep Residual Network Combined with Transfer Learning Based Fault Diagnosis for Rolling Bearing

• Published in: Applied sciences Vol. 12; no. 15; p. 7810
• Main Authors: Zhou, Jianmin, Yang, Xiaotong, Li, Jiahui
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.08.2022
• Subjects: Accuracy; bearing fault diagnosis; Bearings; Deep learning; deep residual network; Experiments; Fault diagnosis; Machine learning; Neural networks; time-frequency image; transfer learning; Vibration; Wavelet transforms

Fault diagnosis of rolling bearings is significant for mechanical equipment operation and maintenance. Presently, the deep convolutional neural network (CNN) is increasingly used for fault diagnosis of rolling bearings, but CNN has challenges with incomplete training and lengthy training times. This...