Synchrosqueezing Transform Based on Improved Group Delay Estimation and Its Application in Extracting Impulse Vibration Signal
HE Ya1, HU Minghui1, LU Ziyuan2, MING Xuan1, JIA Yanfei2
1. Key Lab of Engine Health Monitoring-Control and Networking of Ministry of Education, Beijing University of Chemical Technology, Beijing 100029; 2. Hangli (Group) Industrial Co., Ltd, Chengdu, Chengdu 611936
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.
贺雅, 胡明辉, 卢子元, 明煊, 贾彦飞. 基于改进群延迟估计的同步压缩变换及其在冲击类振动信号提取中的应用[J]. 机械工程学报, 2022, 58(4): 22-33.
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. Journal of Mechanical Engineering, 2022, 58(4): 22-33.
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