基于小波-VMD联合降噪的传动系扭振信号分析
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U461.1

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国家重点研发计划资助项目(2018YFB0106200);国家重点实验室开放基金资助项目(20210218);山西省基础研究计划资助项目(20210302124119);山西省高等学校科技创新计划资助项目 (2021L085)


Analysis of Torsional Vibration Signal of Transmission System Based on Wavelet-VMD Joint De-noising
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    摘要:

    针对试验测得转速、角加速度信号降噪问题,提出一种小波阈值去噪和变分模态分解(variational mode decomposition, 简称VMD)相结合的联合降噪方法,用于对角速度、角加速度信号进行处理。首先,对双质量飞轮减振性能进行整车试验及信号采集,获得双质量飞轮第1质量和第2质量角速度、角加速度信号;其次,对小波进行参数优选,提出以信噪比峰峰值来评价小波参数对其去噪性能的敏感性强弱,在此基础上优选得到小波参数;最后,利用VMD分解得到若干模态分量(intrinsic mode function,简称 IMF),通过互相关系数选择主要IMF并进行信号重构,获得最终去噪信号,并对去噪结果进行分析。结果表明,所提方法能够有效去除角速度与角加速度信号中的噪声成分,去噪信号与原信号相关系数分别为0.998 5,0.997 5,0.835 4 和0.683 6,同时计算得到双质量飞轮加速工况下角速度和角加速度衰减率都在80%以上,满足设计性能要求。

    Abstract:

    In this paper, a wavelet- variational mode decomposition (VMD) joint de-noising method is proposed for the measurement of rotational speed and angular acceleration signal de-noising, which is used to process angular velocity and angular acceleration signals. Firstly, vehicle test and signal acquisition are carried out to obtain the first mass , the second mass angular velocity and acceleration signals of the dual-mass flywheel. Then the parameters of wavelet and VMD are optimized respectively. The peak-to-peak value of signal-to-noise ratio is used to evaluate the sensitivity of wavelet parameters to the de-noising performance. On this basis, wavelet parameters are obtained. Finally, several modal components (IMF) are obtained by using VMD decomposition. The main IMF is selected by cross correlation coefficient and the signal is reconstructed to obtain the final de-noising signal, and the de-noising results are analyzed. The results show that the proposed method can effectively remove the noise components in the angular velocity and angular acceleration signals. Correlation coefficients between the de-noising signal and the original signal are 0.998 5, 0.997 5, 0.835 4 and 0.683 6, respectively. Besides, the angular velocity and angular acceleration under the dual mass flywheel acceleration condition are calculated. The attenuation rate is above 80% which meets the design performance requirements.

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  • 在线发布日期: 2022-08-27
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