Exploration du son, des vibrations et des courants de phase du moteur pour une détection robuste des défauts des machines tournantes

Abstract

This thesis includes a literature review focusing on the exploration of sound, vibrations, and phase currents of motors, as well as the main faults of rotating machines such as imbalance, misalignment, bearing faults, and motor defects. It also explains the most commonly used signal processing techniques for diagnosis, along with an introduction to pattern recognition classification methods. Subsequently, it provides a detailed presentation of the database on which our work will be based, followed by the obtained results.