A multi-sensor fused incremental detection model for blade crack with cross-attention mechanism and Dempster-Shafer evidence theory
Deep learning-based blade crack detection models work on the premise of a fixed data distribution, while the influx of new dataset for faults under blade crack propagation often leads to a catastrophic forgetting problem. Meanwhile, it is difficult for a single sensor to reflect the health status of...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/182859 |