WDA: An Improved Wasserstein Distance-Based Transfer Learning Fault Diagnosis Method
With the growth of computing power, deep learning methods have recently been widely used in machine fault diagnosis. In order to realize highly efficient diagnosis accuracy, people need to know the detailed health condition of collected signals from equipment. However, in the actual situation, it is...
Main Authors: | Zhiyu Zhu, Lanzhi Wang, Gaoliang Peng, Sijue Li |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-06-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/21/13/4394 |
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