Bearing Fault Diagnosis with a Feature Fusion Method Based on an Ensemble Convolutional Neural Network and Deep Neural Network

Bearing Fault Diagnosis with a Feature Fusion Method Based on an Ensemble Convolutional Neural Network and Deep Neural Network

Rolling bearings are the core components of rotating machinery. Their health directly affects the performance, stability and life of rotating machinery. To prevent possible damage, it is necessary to detect the condition of rolling bearings for fault diagnosis. With the rapid development of intellig...

Full description

Bibliographic Details
Main Authors: Hongmei Li, Jinying Huang, Shuwei Ji
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Sensors
Subjects:
bearing fault diagnosis
convolutional neural network
deep neural network
feature fusion
dynamic ensemble
Online Access:https://www.mdpi.com/1424-8220/19/9/2034

Internet

https://www.mdpi.com/1424-8220/19/9/2034

Similar Items