Fault detection and quantification of stator high-resistance connection for induction machines

The paper introduces diagnostic technique for the detection of intermittent stator High-Resistance connection in Wound Rotor Induction Machines. In this context, traditional Fourier Analysis (FA) fails to quantify the extend of fault propagation over time. To overcome this limitation a wavelet based analysis of rotor currents is here proposed in order to detect stator faults. This technique allows extracting fault frequencies dynamically over time providing effective fault detection. A periodical quantification of the fault, issued from the wavelet analysis, has been introduced for accurate stator fault detection. Simulation and experimental results show the validity of the proposed method, leading to an effective diagnosis procedure for intermittent stator electrical faults in wound rotor induction machines.