Fault warning study of gearbox based on SOM-ASTGCN-BiLSTM and mutual diagnosis of same clustered wind turbines
Accurate warning of the low-speed bearing temperature of a wind turbine gearbox is the basis for ensuring its healthy and stable operation. Therefore, a gearbox fault warning method based on self-organizing map (SOM)-attention-based spatiotemporal graph convolutional network (ASTGCN)- bidirectional...
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| Published in: | Renewable energy Vol. 251; p. 123442 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier Ltd
01.10.2025
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| Subjects: | |
| ISSN: | 0960-1481 |
| Online Access: | Get full text |
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