Data anomaly repair method based on fuzzy voting and multi-segment interpolation
Abstract Wind turbines are often situated in remote areas under harsh environmental conditions, where external noise and electromagnetic interference can corrupt the data, negatively impacting downstream tasks such as predictive alerts and diagnostics. Consequently, this paper proposes a comprehensi...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-05951-9 |
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