Rotor electrical fault detection in wound rotor of asynchronous machine by Gabor transform: Application in wind turbine and offshore turbine generator

Abstract

the Induction Machine (IM) is most present in several applications with non-stationary conditions (NSC). The offshore wind turbine, wind turbine generator and all renewable energy converting systems, where IM is essential, are the most relevant examples. The reliability of those systems and their availability are the important key of good service and lifetime prolongation. That requires the prediction of maintenance operations and to reduce their cost. In such situations, detection and diagnosis of fault require advanced signal processing techniques. A new method using Gabor transform is implemented to detect Rotor Electrical Fault (REF) in IM. The concept is validated with good experimental results. The purpose is the identification of ERF. A Digital Signal Processing is used to implement the proposed method Keywords-component; asynchronous induction machine, electrical rotor fault, offshore wind turbine, Gabor transform, renewable energyI.

Current signature analysis to monitor DFIG wind turbine generators: A case study

“…Other less common time-frequency techniques applied to wind generator fault detection are Hilbert transform [43], Gabor transform [44], Chirplet transform [45,46] or amplitude-demodulation [35].…”