Fault diagnosis in rotating electrical machines is an essential phase in order to maintain the good health of the entire system. Several techniques have been used in this field to have an adequate decision. Stator current analysis based on signal processing techniques has been widely explored to diagnose electrical machines. Motor Current Signature Analysis (MCSA) technique is the most widely used in recent years. However, the mains disadvantages are the problem of the resolution and the inherent constraint of not being applicable to analyze non-stationary signals. To overcome this drawback, a stator current analysis method based on DWT (Discrete Wavelet Transform) technique is proposed to detect the static eccentricity fault. The stator current signals were decomposed into several signals containing detail and approximation. So, the details containing much information about the static eccentricity fault. In addition, this study proposed the analysis of the energy values of some details. The results were obtained through the experimental test of induction motors (3kW) under different conditions.