Based on the inspiration of ideal time-frequency analysis, this paper proposes a new time-frequency post-processing method for providing an energy-focused time-frequency representation. The proposed method divides the energies in the time-frequency plane into two categories: the TF points located on the ridges serve as energy reassignment targets; the smeared energy outside the ridges is squeezed directly onto fixed points within the localized region according to the reassignment direction which ensures the energy concentration of the time-frequency results. The energy concentration and noise robustness of the algorithm are verified by numerical simulation signals. Finally, the proposed method is applied to bearing fault signals with variable rotational speeds, and the experimental results demonstrate the ability to provide a clear time-frequency representation of the fault characteristics.

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A Local Synchrosqueezing Based TFA Post-processing Tool and Application to Bearing Fault Diagnosis

  • Jingbo Liu,
  • Yabo Wang,
  • Zong Meng

摘要

Based on the inspiration of ideal time-frequency analysis, this paper proposes a new time-frequency post-processing method for providing an energy-focused time-frequency representation. The proposed method divides the energies in the time-frequency plane into two categories: the TF points located on the ridges serve as energy reassignment targets; the smeared energy outside the ridges is squeezed directly onto fixed points within the localized region according to the reassignment direction which ensures the energy concentration of the time-frequency results. The energy concentration and noise robustness of the algorithm are verified by numerical simulation signals. Finally, the proposed method is applied to bearing fault signals with variable rotational speeds, and the experimental results demonstrate the ability to provide a clear time-frequency representation of the fault characteristics.