Operational Wind Turbine Blade Damage Evaluation Based on 10-min SCADA and 1 Hz Data

This work aims to propose a method enabling the evaluation of wind turbine blade damage and fatigue related 1 Hz speed signal applied large period based on standard 10-min SCADA data. Previous studies emphasize need for sampling with frequency when carrying out computation. However, such methods cannot be evaluate long time due complexity computation data availability. Moreover, are not commonly used in farm industry because they require storage capacity. Applying an approach, which is signal, current farms trivial pursuit. The present investigates possibility overcoming preceding issues by estimating equivalent over characterized terms measured mean turbulence intensity. Then, discussion carried regarding estimate uncertainty simulation, bid come up tool facilitating decision-making operator. A statistical analysis assessed different turbines thus proposed determine one has sustained most damage. Finally, probability reaching critical level then proposed, allowing operator optimize operating maintenance schedule.