Signal processing software techniques for the monitoring and the diagnosis of the wind turbines

The paper presents the implementation of a software for the analysis of vibration generated by wind turbines components. This software application has been built in the LabVIEW programming environment. For the vibration analysis and fault detection have been used several techniques, like: wavelet analysis, envelope detection, FFT analysis, Cepstrum analysis, Vector RMS analysis. Vibration signal envelope detection was performed using a virtual instrument based on Hilbert transform and rms analysis was performed using virtual instrument “Vector RMS” specifically designed for vibration analysis. The experimental results were obtained by measuring the vibration signals of a bearing with a simulated fault on the outer raceway.