Fault Diagnosis of Motor Bearings Based on a One-Dimensional Fusion Neural Network

Fault Diagnosis of Motor Bearings Based on a One-Dimensional Fusion Neural Network

Deep learning has been an important topic in fault diagnosis of motor bearings, which can avoid the need for extensive domain expertise and cumbersome artificial feature extraction. However, existing neural networks have low fault recognition rates and low adaptability under variable load conditions...

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Bibliographic Details
Main Authors: Xianzhong Jian, Wenlong Li, Xuguang Guo, Ruzhi Wang
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Sensors
Subjects:
motor bearings
fault diagnosis
deep learning
one-dimensional fusion neural network
D-S evidence theory
Online Access:http://www.mdpi.com/1424-8220/19/1/122

Internet

http://www.mdpi.com/1424-8220/19/1/122

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