In this study, a novel pre-processing method to improve the prediction accuracy of deep learning (DL) in predicting motor characteristics are proposed. In the proposed method, a frequency decomposition method called empirical mode decomposition is applied to the gap magnetic flux density distribution, which is the input data of the DL.