Advanced Doubly Fed Induction Machine Rotor Fault Diagnosis Based on Wavelet Analysis in Closed-Loop Operation Under Time–varying Condition

Abstract

This paper introduces a new diagnostic technique

for the detection of incipient electrical rotor faults in doubly fed

induction Machine (DFIM) for wind power systems. In the

considered application, the rotor is supplied by a static

converter for the control of active and reactive power flows

from the generator to the electrical grid. A new diagnostic

method based on the rotor modulating signals pre-processing by

Frequency Sliding (FS) and Discrete Wavelet Transform

(DWT) thereby is here proposed to detect rotor faults

dynamically over time. Experimental and simulation results

demonstrate the effectiveness of the proposed approach under

time-varying conditions.