Abstarct: The wound rotor induction machine(WRIM) is widely used in various applications such as medium power wind turbine and traction systems . Since these machines are usually used in harsh and difficult conditions, condition monitoring is essential. Various electrical and mechanical signatures of machines were used for electrical and mechanical fault detection in electrical machines such as vibration, acoustic emission, stray flux and stator current signature. In recent years, the use of stator current signature analysis for fault detection has received more attention compared to previous common methods such as acoustic and vibration due to its simplicity, cost-effectiveness and availability. In this research, high-resolution technique baxsed on chirp-Z transform is used for rotor asymmetry fault (RAF) detection in induction machines through stator current signature analysis. In this regard, Teager-Kaiser energy operator (TKEO) technique for demodulation fault characteristic frequency is used as pre-processing stage to overcome effect of spectral leakage. The method has better accuracy due to higher spectral resolution. Furthermore, computational complexity in the proposed method will be reduced in compare to the pervious conventional ones which have used Fast Fourier transform (FFT). The proposed technique is tested through synthetic and experimental stator current of WRIM in healthy and faulty conditions with different rotational speeds and fault severities. The results show the validity of proposed method in rotor asymmetry fault detection through stator current signature of WRIM.