Advanced rotor fault diagnosis for DFIM based on Frequency Sliding and wavelet analysis under time-varying conditions

This paper investigates a new monitoring and diagnosis technique for the detection of electrical rotor faults in (DFIM) Doubly Fed Induction Machine for wind power systems under time-varying conditions. A new approach based on Frequency Sliding (FS) and Discrete Wavelet Transform (DWT) is here proposed in order to detect rotor faults dynamically over time. Moreover, a cyclic quantification of the fault extent over time was introduced for accurate rotor fault detection. Simulations and experimental results show the effectiveness of this new method in discriminating healthy from faulty rotor in time-varying operating conditions.