SYNTHESIS OF TECHNIQUES USED FOR DIAGNOSING FAULTS IN ELECTRIC MACHINES
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2020-06-06
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Abstract
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.