Virtual System Fault Models For Training Fuzzy-Wavelet Identifiers In Electrical Drive Diagnosis: An Experimental Validation

This paper presents an experimental activity on electrical drive diagnosis. A wavelet-based fault diagnosis algorithm previously tested in simulation is here validated experimentally. The analysis focuses on stator fault conditions and in particular on incipient faults affecting stator resistance. Together with the description of the experimental activity, a discussion on the structure of the realized board employed for data acquisition and diagnosis is also reported