Adaptive Deeping Siamese Residual Network: A Novel Model for Few-Shot Bearing Fault Diagnosis
The diagnostic performance of deep learning models is heavily reliant on large volumes of labeled training data. However, in practical applications, bearing fault samples are relatively scarce, and the availability of samples for effective model training is even more limited, leading to the suboptim...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
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| Series: | Machines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1702/13/3/193 |
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