Research on a Bearing Fault Enhancement Diagnosis Method with Convolutional Neural Network Based on Adaptive Stochastic Resonance

As a powerful feature extraction tool, a convolutional neural network (CNN) has strong adaptability for big data applications such as bearing fault diagnosis, whereas the classification performance is limited when the quality of raw signals is poor. In this paper, stochastic resonance (SR), which pr...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Chen Wang, Zijian Qiao, Zhangjun Huang, Junchen Xu, Shitong Fang, Cailiang Zhang, Jinjun Liu, Ronghua Zhu, Zhihui Lai
Format:	Article
Language:	English
Published:	MDPI AG 2022-11-01
Subjects:	bearing fault diagnosis stochastic resonance optimization algorithm convolutional neural network
Online Access:	https://www.mdpi.com/1424-8220/22/22/8730