This paper presents a novel method for detecting bearing faults using multi-resolution analysis of stator current signals based on Stockwell Transform. The sampled stator current signals are analyzed with the help of Stockwell Transform to extract features namely maximum magnitude and maximum phase angle. The statistics of these features are further utilized to detect and classify the bearing faults in outer race, inner race, cage and balls. The experimental results show that the proposed approach is capable of detecting various bearing faults in induction motor. © 2016 IEEE.