Acta Mechanica Slovaca 2025, 29(3):6-14 | DOI: 10.21496/ams.2025.015

Diagnostics of Fault in wind Turbine Rolling Eelement Bearing using Frequency Analysis

Fatima Zohra Cherrad¹, Chakib Drif¹, Houria Salhi¹, Abdenour Soualhi², Hamou Nouri^{1, *}

¹ LAS laboratory, Electrical Engineering Department, University of Setif 1, Algeria

² Laspi Laboratory in Roanne, Jean Monnet University of Saint Etienne, France

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.

Keywords: Wind turbine, Ball bearing, Fault diagnosis, Frequency, Vibration Analysis methods, Runge-Kutta method.

Received: May 15, 2025; Revised: June 23, 2025; Accepted: June 26, 2025; Published: October 1, 2025  Show citation