Due to the pollution and health hazards of nonrenewable resource-based energy generation systems, now focus is on the use of renewable resources. This chapter aims as providing an automated fault-detection system for increasing the robustness of offshore located wind farms. The method is based on the use of flexible threshold for calculation of the collected sample values. A fuzzy inference system (FIS) is designed for the automatic real-time fault detection system named as FIS-based fault detection system (FFDS) for offshore wind farms. The method uses the concept of combination-summation (CS) and flow-directions to determine the extent of fault occurrence in the wind farm. Based on the working conditions of the wind farm, preventive or corrective measures are suggested to the remote observer. The performance of these methods is evaluated on MATLAB.
Part of the book: Fault Diagnosis and Detection