Rolling bearing fault identification using multilayer deep learning convolutional neural network

Rolling bearing fault identification using multilayer deep learning convolutional neural network

The vibration signal of rolling bearing is usually complex and the useful fault information is hidden in the background noise, therefore, it is a challenge to identify rolling bearing faults from the complex vibration environment. In this paper, a novel multilayer deep learning convolutional neural...

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Bibliographic Details
Main Authors: Hongkai Jiang, Fuan Wang, Haidong Shao, Haizhou Zhang
Format: Article
Language:English
Published: JVE International 2017-02-01
Series:Journal of Vibroengineering
Subjects:
multilayer deep learning CNN
normalization preprocessing
rolling bearing
fault identification
feature learning
Online Access:https://www.jvejournals.com/article/16939

Internet

https://www.jvejournals.com/article/16939

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