System and method for improving wind turbine rotor blade quality using artificial intelligence

A system for improving quality of a rotor blade of a wind turbine, the system comprising:

• a controller comprising at least one processor configured to receive data relating to the rotor blade, the data relating to the rotor blade collected during or after manufacturing of the rotor blade before the rotor blade is placed into operation on the wind turbine, the data comprising visual data and multi-spectral infrared (IR) data, wherein the at least one processor is configured to perform a plurality of operations, the plurality of operations comprising:
• fusing image data from the visual data and the multi-spectral IR data to determine an occurrence of one or more anomalies on or within the rotor blade;
• automatically generating a quality report of the rotor blade comprising the one or more anomalies;
• and
• implementing a corrective action for the rotor blade or a subsequent manufacturing process of another rotor blade based on the quality report.