Synthesis Of Techniques Used For Diagnosing Faults In Electric Machines

Résumé: This thesis deals with an overall overview of power based techniques, used for induction generator faults detection and diagnosis. Instantaneous partial and total power, active and reactive power, complex apparent power and transformed power from mechanic to electric nature are all revisited, in faulty and healthy conditions, simulated and discussed in this thesis. The main major induction generator faults are the rotor broken bars, the stator shorted turns and the air-gap eccentricities. Fast Fourier transforms (FFT) and PQ transform algorithms are used as comparison tools. Simulation results show that, on one hand, active, reactive and complex apparent power can only be used to detect evolution of rotor faults. On the other hand, partial, total and power transferred from mechanical to electrical nature are able to detect induction generator faults evolution, with the advantage of eliminating electrical distortions and influences of low supplying voltage quality. Furthermore, the implementation of the PQ transformation offers the possibility to isolate load influences from rotor faults and stator ones.

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