Transfer Learning With Neural Networks for Bearing Fault Diagnosis in Changing Working Conditions

Transfer Learning With Neural Networks for Bearing Fault Diagnosis in Changing Working Conditions

Traditional machine learning algorithms have made great achievements in data-driven fault diagnosis. However, they assume that all the data must be in the same working condition and have the same distribution and feature space. They are not applicable for real-world working conditions, which often c...

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Bibliographic Details
Main Authors: Ran Zhang, Hongyang Tao, Lifeng Wu, Yong Guan
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Fault diagnosis
transfer learning
neural networks
machine learning
Online Access:https://ieeexplore.ieee.org/document/7961149/

Internet

https://ieeexplore.ieee.org/document/7961149/

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