Deployment of AI technologies in Wind Energy Industry Sector

This paper aims to evaluate the implementation of Non-Destructive Inspection Techniques (NDIT) in the wind energy sector. For this purpose, a use case where AI-enhanced vision algorithms for anomaly detection in the painting inspection process in the wind energy sector is presented. Limitations and criteria for selecting the optimal hardware will be discussed, as well as the different parameters used for selecting, training, testing and validating machine vision applications in this field. Finally, the evaluation metrics of the algorithm used to evaluate the confidence level of the proposed model are explained, its performance on real, unseen data is presented, and future lines of action, as well as potential alternative applications, are summarized.