Fault Diagnosis of Wind Turbine Based on Current and Voltage Observation by SVM Method
Fault Diagnosis of Wind Turbine Based on Current and Voltage Observation by SVM Method
Sajjad Heydarpur1 Shahrokh Jalili2 Huseyn Tohidi3
1) Department of Electrical Engineering, Malekan Branch, Islamic Azad University, Malekan, Iran
2) Department of Electrical Engineering, Maragheh Branch, Islamic Azad University, Maragheh, Iran
3) Department of Electrical Engineering, Malekan Branch, Islamic Azad University, Malekan, Iran
Publication :
International Conference on Science and Engineering(icesconf.com)
Abstract :
In this paper, the faults of sensors of blade positions, blade step mover and generator and rotor speed sensors are analyzed. Based on the falut analysis, these faults are the most intensive and have more importance compared to the other faults; the internal faults of generator and converters are neglected in this research because of the unnecessary complication and expansion. Then using the dynamic model of wind energy conversion, a fault detection system with artificial neural network of support vector machine (SVM) is used for fault detection in wind turbine with varying speed including three blades and power electronic devices. This can be used to detect the occurring faults in blade position sensors, blade step mover and generator and rotor speed sensors.
Keywords :
Wind Turbine
Support Vector Machine (SVM)
Fault Detection and Isolation
Power System