Wind turbine bearing condition monitoring based on high frequency resonance method

Bearing is the most frequently used component in a wind turbine, and its´ faults would lead to completely stall of a machine. Therefore, bearing Fault Diagnosis is an important part of condition monitoring in a wind turbine. This paper presented a High Frequency Resonance (HFR) method to implement bearing fault detection and fault diagnosis. This technique extracted the amplitude and frequency modulations of the vibration signals which measured from a wind turbine system. For the amplitude demodulation is inherent in the vibration signals, the fault frequency will be detected from the spectrum of the transformed original signals. And the effectiveness of this approach has been validated by simulated signal and experimental data.