Wind Turbine Update Validation Through Statistical Load Analysis

The patent applies preliminary action by performing load simulations and statistical validation of software updates before they are deployed to actual wind turbines. The method simulates load performance with and without the update using statistical methods, and only validates the update if the statistical parameter (indicating statistical difference between load data sets) meets a predetermined criterion. This pre-deployment validation ensures that updates enhancing power output do not compromise load performance or structural integrity.

The patent replaces manual testing and validation mechanisms with an automated statistical validation system. Instead of relying on extensive physical testing and manual analysis, the method uses statistical methods to compare load data sets from simulations with and without the update. The automated calculation of statistical parameters and comparison against predetermined criteria significantly reduces the time and manual effort required for validation while maintaining high reliability standards for structural integrity.

The patent uses simulation copies of the wind turbine system to assess update safety without requiring additional physical testing infrastructure. The method creates virtual replicas of the wind turbine through computational models, performs load simulations on these copies with and without the update, and compares the results using statistical methods. This approach achieves high measurement precision in load variation analysis while avoiding the complexity and cost of additional physical testing systems.