PT  - JOURNAL ARTICLE
AU  - Cherrad, Fatima Zohra
AU  - Drif, Chakib
AU  - Salhi, Houria
AU  - Soualhi, Abdenour
AU  - Nouri, Hamou
TI  - Diagnostics of Fault in wind Turbine Rolling Eelement Bearing using Frequency Analysis
DP  - 2025 Oct 1
TA  - Acta Mechanica Slovaca
PG  - 6--14
VI  - 29
IP  - 3
AID - 10.21496/ams.2025.015
IS  - 13352393
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.