Modeling a Fuzzy Inference System for a Wind Turbine Condition Monitoring

Condition monitoring systems have been used to determine the need for equipment maintenance and successful results have been achieved, however, these systems in combination with fuzzy logic have not been sufficiently explored, and one area of application is wind turbines. In this paper, the state of the art of wind turbine condition monitoring is briefly reviewed and it is proposed to use fuzzy logic for the diagnosis of wind turbine condition, in order to detect the abnormal behavior of the signals through a system of fuzzy inference that can be used as a fundamental element in the diagnosis of turbine condition. The system is based on data from a Komai wind turbine whose specifications were used to model the system. The results of the tests indicate that this system can be used to represent human knowledge and the diagnosis is reliable.