Some digital signal processing techniques for induction machines diagnosis

This paper investigates the recent advances on digital signal processing techniques for induction machines diagnosis. Since non-invasive sensors offer a relatively simple and cost effective fault diagnosis, more emphasis is given to stator current analysis rather than vibration or acoustic analysis in induction machines. Here, further interest has been paid on modern signal processing techniques with a special attention to their performances in time domain, frequency domain and time-frequency domain. Among these methods, some of them have been applied to the stator current collected from induction machine based test-rigs with electrical or mechanical faults. It will be demonstrated that only recently numerous techniques have been adapted to induction machines diagnosis. They have been developed primarily based upon basic digital signal processing techniques, in order to achieve a more reliable identification and quantification of fault indexes.