一种用于机床轴承振动信号去噪的新方法A New Method for Denoising Vibration Signal of Machine Tool Spindle
张凯毓,牛文群,高叙宁,张铫
摘要(Abstract)：
采集的CNC机床轴承原始振动信号通常包含噪声，导致无法准确地分离故障信号，针对这一问题，对振动信号降噪原理进行研究。在分析了完整集成经验模态分解（CEEMDAN）算法、带通滤波器降噪、传统的小波软硬阈值降噪算法的优缺点后，提出了一种CEEMDAN算法联合新小波阈值函数的降噪方法。对模拟信号以及实测振动信号进行去噪实验。实验结果表明，新方法可以更好的去除原始振动信号中的噪声，充分保留特征频率，与现有方法相比，新的去噪方法提高了信噪比，降低了均方误差。
关键词(KeyWords)： 信号去噪;机床轴承;CEEMDAN;小波阈值函数
基金项目(Foundation):
作者(Author): 张凯毓,牛文群,高叙宁,张铫
DOI: 10.19356/j.cnki.1001-3997.20260403.012
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