Deep Neural Network Ensemble for the Intelligent Fault Diagnosis of Machines Under Imbalanced Data

Deep Neural Network Ensemble for the Intelligent Fault Diagnosis of Machines Under Imbalanced Data

Imbalanced classification using deep learning has attracted much attention in intelligent fault diagnosis of machinery. However, the existing methods use individual deep neural network to extract features and recognize the health conditions under imbalanced dataset, which may easily over-fit the mec...

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Bibliographic Details
Main Authors: Feng Jia, Shihao Li, Hao Zuo, Jianjun Shen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Intelligent fault diagnosis
imbalanced data
deep neural network
ensemble learning
Online Access:https://ieeexplore.ieee.org/document/9133083/

Internet

https://ieeexplore.ieee.org/document/9133083/

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