An Interactive Educational Tool for Studying the Diagnosis of Bearing Faults Using Vibration Analysis

Abstract

Bearings are essential components of rotating machines, of which no industrial field is devoid. However, bearings are the most common parts that cause the failure of rotating machinery in general. Therefore, the monitoring and maintenance of bearings are critical measures to protect rotating machinery. The vibration signal analysis of the bearing to extract defects is one of the many monitoring methods, of which the various signal processing techniques can be used (such as the Fourier transform, the Hilbert transform$,\ldots$etc.). In this article, we propose an attractive educational platform incorporating a graphical user interface in MATLAB to improve the learning of bearing fault diagnosis, through signal vibration analysis. This tool is not only for students but also for teachers who are teaching signal processing, diagnosis, and vibration analysis.