Fatigue Damage Monitoring of Wind Turbine Blades by Using the Kalman Filter
Author:
Affiliation:
1. Hitachi, Ltd., Hitachi 319-1292, Japan
Funder
Agency for Natural Resources and Energy
Publisher
American Institute of Aeronautics and Astronautics (AIAA)
Subject
Aerospace Engineering
Link
https://arc.aiaa.org/doi/pdf/10.2514/1.J060254
Reference20 articles.
1. Models for lifetime estimation: an overview with focus on applications to wind turbines
2. Cumulative Damage Modeling with Recurrent Neural Networks
3. Dynamic Bayesian Network for Aircraft Wing Health Monitoring Digital Twin
4. Strange quark mass turns magnetic domain walls into multi-winding flux tubes
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