PT Journal
AU Cherrad, ZF
   Drif, C
   Salhi, H
   Soualhi, A
   Nouri, H
TI Diagnostics of Fault in wind Turbine Rolling Eelement Bearing using Frequency Analysis
SO Acta Mechanica Slovaca
PY 2025
BP 6
EP 14
VL 29
IS 3
DI 10.21496/ams.2025.015
DE Wind turbine; Ball bearing; Fault diagnosis; Frequency; Vibration Analysis methods; Runge-Kutta method.
AB This paper is devoted to the study of wind turbine bearing failures. As maintenance costs in the wind industry are quite high, we are interested in developing approaches to minimize costs and optimize wind turbine downtimes and ensure the safety of people and property. Different techniques are used for fault analysis such as short-time Fourier transform, wavelet analysis, model-based analysis and vibration method. Each analysis technique has its preferred field of application. This paper explains the procedure for detecting bearing faults using Electromechanics analysis by characterizing each fault by a well-defined frequency. The analysis is carried out offline in MATLAB to analyse the dynamic behaviour of a ball bearing exhibiting vibration defects.
ER