Synchrosqueezing Transform Based on Improved Group Delay Estimation and Its Application in Extracting Impulse Vibration Signal

doi:10.3901/JME.2022.04.022

Abstract

Abstract: The impact features in the vibration signal of rotating machinery usually represent the occurrence of common faults such as bearing damage and gear damage. In order to accurately extract the impact component in the signal, a time-frequency analysis method based on improved time-reassignment synchrosqueezing transform(TSST) is proposed. Firstly, the characteristics of TSST prototype algorithm in dealing with actual strongly frequency varying signals are analysed, and it is found that it is easy to cause evident time-frequency ambiguity. Then, an improved group delay estimation method based on local maximum search algorithm is constructed to overcome the time-frequency ambiguity problem caused by TSST. On this basis, an adaptive group delay estimation strategy is proposed. Finally, an adaptive synchrosqueezing transform method based on improved group delay estimation is formed, and a pulse feature extraction method in vibration signal is developed. The results of simulation and experimental data show that the proposed method can extract impulse features of vibration signals more accurately, and generate a more concentrated time-frequency representation than other time-frequency analysis methods.

Key words: impulse vibration, extraction, TFA, TSST, group-delay estimation

CLC Number:

TH911
TH165

HE Ya, HU Minghui, LU Ziyuan, MING Xuan, JIA Yanfei. Synchrosqueezing Transform Based on Improved Group Delay Estimation and Its Application in Extracting Impulse Vibration Signal[J]. Journal of Mechanical Engineering, 2022, 58(4): 22-33.

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