摘要：Wigner-Ville Distribution (WVD)is probably the most used non-linear time-frequency distribution for signal processing in fault diagnosis, due to the advantages of excellent resolution and localization in time-frequency domain. However, the presence of cross terms when they are applied to multicomponent signals can give misleading interpretations. A methodology based onLocal Mean Decomposition (LMD)andWVDis proposed to get more reliable bearing fault diagnosis based on vibration signals.Kullback-Leibler Divergence (KLD)guides the selection of the optimal frequency band with the most relevant information about the fault. Early results based on experimental data show successful diagnosis.
