Analysis and identification of furtive misfiring in converter using wavelet

Wavelets are attractive for applications that require analysis of electrical signals. In contrast to classical methodologies used to determine the spectrum of a signal in steady-state or not, and thanks to the STFT (Short Time Fourier Transform), wavelets are an interesting approach which is efficient to localize temporal peculiarities. This work presents a methodology to identify and diagnose a furtive or intermittent fault in three-phase inverter converter using a function wavelet mother type Mexican Hat. Such monitoring is based on the stator current analysis of an induction motor. Simulation and experimental results validate this study considering only the fault in the converter supplying the machine in open loop.