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Recently, One Class Support Vector Machines (OCSVM) have been the subject of much research. This paper introduces a novel pattern classification approach for Broken Rotor Bar (BRB) detection in Induction Motors (IM), which combines Stationary Wavelet Packet Transform (SWPT) and OCSVM. Among all the kernels available to OCSVM, wavelet kernels are tuned to improve accuracy and detection time of fault. The SWPT is applied for the relevant data under lower sampling rate and a reduced number of samples. The experimental results on different load levels prove that the proposed method has a better performance than other methods.