We have developed a method using artificial intelligence to detect and classify faults in wind turbines before major damage occurs. By analyzing data from multiple sensors, we can identify issues even under changing weather conditions, such as temperature and wind. This improves reliability, reduces downtime, and lowers maintenance costs, supporting cleaner and more affordable energy through stable production.