Survey of Wavelet Fault Diagnosis and Tolerant of Induction Machines with Case Study

The present contribution presents a review of the research on the use of wavelets as a medium of fault detection and fault tolerant control of induction machines. Modeling of induction motor in the stator short winding and stator open winding faults has been illustrated. The authors provide comprehensive information about the wavelet application to fault diagnosis, including a summary of wavelet types (continuous and discrete), faults, methods and their validation in the diagnosis and frequency characteristics components of healthy and faulty induction motors. Inverter faults and artificial intelligence methods used for fault diagnosis are reviewed in this paper. Case studies using stator current sensing, DC voltage sensor and the gate drive signal for fault detection of an induction motor are also presented. Finally, a case study of inverter fault detection is illustrated experimentally using an induction motor drive controlled by the Texas Instrument TMS 320F28335 DSP. Copyright (c) 2012 Praise Worthy Prize S.r.l. - All rights reserved.