Method for performing a maintenance or repair of a rotor blade of a wind turbine

A method for performing a maintenance or repair of a rotor blade of a wind turbine, the method comprising:

• planning and scheduling data acquisition of data of the rotor blade;
• acquiring the data of the rotor blade based on the planning and scheduling;
• processing and analyzing the acquired data using artificial intelligence to obtain analyzed data of the rotor blade;
• identifying defects of the rotor blade based on the analyzed data;
• tracking and visualizing the identified defects of the rotor blade;
• performing a maintenance or a repair of the rotor blade based on the tracked and visualized identified defects;
• the processing and analyzing step comprising determining the artificial intelligence based on type of data in the acquired data such that the artificial intelligence forms a pipeline based on the type of data in the acquired data;
• training the artificial intelligence based on previously acquired data of a rotor blade of a same or similar type, and augmenting the previously acquired data using blending to obtain augmented training data for the training, and wherein the blending superimposes images of rotor blade faults with images of rotor blades to obtain augmented faulty images for the training;
• and
• and wherein the blending includes one or more of:
• a random cut and paste, a Poisson blending, an alpha blending, or a Generative Adversarial Network based blending.