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

Author

Balan, Horia ; Buzdugan, Mircea ; Cozorici, Ioan ; Karaisas, Petros

Author_Institution

Power Eng. & Manage., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania

fYear

2013

fDate

11-13 Oct. 2013

Firstpage

1

Lastpage

6

Abstract

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.

Keywords

Hilbert transforms; fast Fourier transforms; fault diagnosis; power engineering computing; signal processing; vibrations; wind turbines; Cepstrum analysis; FFT analysis; Hilbert transform; LabVIEW; Vector RMS analysis; fault detection; rms analysis; signal processing software techniques; vibration analysis; vibration signal envelope detection; vibration signals; virtual instrument; wavelet analysis; wind turbines; Bearing; Hilbert Transform; LabWiew; RMS; Vibrations;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Electronics Engineering (ISEEE), 2013 4th International Symposium on

Conference_Location

Galati

Type

conf

DOI

10.1109/ISEEE.2013.6674329

Filename

6674329