Long-term fatigue estimation on offshore wind turbines interface loads through loss function physics-guided learning of neural networks
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DOI: 10.1016/j.renene.2023.01.093
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- Avendaño-Valencia, Luis David & Abdallah, Imad & Chatzi, Eleni, 2021. "Virtual fatigue diagnostics of wake-affected wind turbine via Gaussian Process Regression," Renewable Energy, Elsevier, vol. 170(C), pages 539-561.
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- Ren, Chao & Xing, Yihan, 2023. "AK-MDAmax: Maximum fatigue damage assessment of wind turbine towers considering multi-location with an active learning approach," Renewable Energy, Elsevier, vol. 215(C).
- Moynihan, Bridget & Tronci, Eleonora M. & Hughes, Michael C. & Moaveni, Babak & Hines, Eric, 2024. "Virtual sensing via Gaussian Process for bending moment response prediction of an offshore wind turbine using SCADA data," Renewable Energy, Elsevier, vol. 227(C).
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Keywords
Offshore wind; Structural health monitoring; Physics-informed machine learning;All these keywords.
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