Wind turbine fault diagnosis dataset (FAST– NREL 5MW)

This repository contains the measurement signals used during the development and validation of a wind turbine fault diagnosis methodology. The dataset includes six fault scenarios of a wind turbine benchmark. Each file fault_i.mat contains the time series of the available sensor measurements corresponding to fault condition i. A healthy operating condition is also provided. The MATLAB live script read_Sensor_data.mlx is included for visualization and inspection of the sensor behavior and fault effects. They are provided to allow readers to understand the characteristics of the signals used to design and tune the diagnostic method. The signals were generated using the wind turbine benchmark proposed by Odgaard, Stoustrup and Kinnaert (2013), based on the NREL 5-MW reference wind turbine implemented in FAST. The FAST simulation model is not distributed. Only processed measurement signals required for diagnosis are provided. Pérez-Pérez, E. J., Puig, V., Santos-Ruiz, I., Gúzman-Rabasa, J. A., & Valencia-Palomo, G. (2026). Wind turbine fault diagnosis using structural analysis and optimized-Rectangular GPR interval estimation. Control Engineering Practice, 172, 106940. https://doi.org/10.1016/j.conengprac.2026.106940