Improvement of Induction Motor Diagnosis using the Kaiser Window Function

Fault diagnosis affecting electric motors becomes essential given the effect of these faults on the reliability and efficiency of industrial processes. For this, several analysis techniques are developed and used to detect these faults as quickly as possible. It is therefore important to know the performance and limits of these techniques to determine which is the most appropriate technique for a given fault. The purpose of this paper is to develop a comparative study between the vibration technique and the stator current technique in the diagnosis of broken rotor bar’s fault of induction motor. In this context, the Kaiser weighting window with an adequate shape parameter is used during the estimation of the Power Spectrum Density in order to enhance the characteristic harmonics of the fault. The experimental results obtained show that both techniques are able to detect and monitor the severity of the fault in the different operating modes and that both techniques are effective in the diagnosis of the searched fault.