Transfer Learning Method Based on Adversarial Domain Adaption for Bearing Fault Diagnosis

At present, most of the intelligent fault diagnosis methods of rolling element bearings require sufficient labeled data for training. However, collecting labeled data is usually expensive and time-consuming, and when the distribution of the test data is different from the distribution of the trainin...

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Bibliografiske detaljer

Principais autores:	Jiajie Shao, Zhiwen Huang, Jianmin Zhu
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2020-01-01
Serier:	IEEE Access
Fag:	Transfer learning fault diagnosis domain adaption deep learning
Online adgang:	https://ieeexplore.ieee.org/document/9126795/
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