Transfer Learning‐Based Domain‐Adaptive One‐Dimensional Convolutional Neural Network for Fault Diagnosis of Rotating Machines
ABSTRACT In recent years, deep learning models, particularly one‐dimensional convolutional networks (1‐D CNNs), have shown significant potential for fault diagnosis of rotating machines. However, existing methods often struggle to generalize to real‐time data and lack adaptability across different o...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-07-01
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| Series: | Engineering Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/eng2.70258 |
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