Browsing Department of mechanical engineering_master by Subject ""In the past decade, the trend towards higher efficiency and higher torque density electric machines without permanent magnets for the industrial sector has increased rapidly, among these machines we distinguish synchronous Reluctance machines which have many advantages over other types of motors, including high efficiency and low cost , reliability, low noise and low maintenance requirements. The latter can be exposed to any defect at any time, and this causes many losses, so the process of diagnosing defects before they turn into damage at an early stage has become necessary. Moreover, in the field of diagnosis and monitoring of damages, there are many methods for detecting faults in synchronous machines and among these methods: The method of signal analysis by Fourier transform. The purpose of this work is to contribute to the diagnosis and monitoring to detect faults to which this electrical machine is exposed. Therefore, in this study, we tried to diagnose the electrical short circuit defect for each of the stator currents, the Park vector approach, and the active and reactive force approach using the signal analysis method in order to reach the defect detection more accurately . ""