Normalized Recurrent Dynamic Adaption Network: A New Framework With Dynamic Alignment for Intelligent Fault Diagnosis
In the field of intelligent fault diagnosis, distribution divergence always exists between the training and testing sets (which could be considered as a source domain with known labels and a target domain without labels), which will lead to a significant degradation in the diagnosis performance of d...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9078750/ |