基于CEEMDAN-IAWT方法的滚动轴承振动信号降噪

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摘要针对滚动轴承振动信号中混入噪声的问题，设计了一种自适应白噪声完全集合经验模态分解(CEEMDAN)结合改进自适应小波阈值(IAWT)的联合降噪方法。首先使用CEEMDAN对信号进行模态分解得到本征模态函数(IMFs)；然后将得到的IMFs与原信号进行相关性分析识别有效分量；针对小波阈值降噪算法(WT)不能自适应选取小波基和分解层数以及阈值函数存在缺陷的问题，设计了IAWT算法，利用IAWT算法过滤IMFs中的噪声；最后将处理后的IMFs进行信号重构。利用设计的联合降噪算法对仿真信号和实验台信号进行处理可知，相比于WT，使用IAWT处理后的信号信噪比提高了约0.5dB，与原信号的相关系数提高了约0.03，均方根误差降低了约0.01。将本文设计的方法与CEEMDAN-WT等方法对比可得，经本文方法处理后的信号信噪比至少提高了1.37dB，且信号特征保存完好。

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	任海军
	韦冲
	谭志强
	罗亮
	丁显飞

关键词 ：滚动轴承, 振动信号降噪, 自适应白噪声完全集合经验模态分解(CEEMDAN), 改进的自适应小波阈值(IAWT)

Abstract：To solve the problem of mixing noise into rolling bearing vibration signals, a joint noise reduction method is designed, which combines the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and the improved adaptive wavelet threshold (IAWT). First, use CEEMDAN to modal decomposition of the signal to obtain intrinsic mode functions (IMFs); Then the obtained IMFs and the original signal were analyzed to identify the effective component. Aiming at the problem that wavelet threshold denoising algorithm(WT) can not adaptively select wavelet base and decomposition layer and threshold function has defects, IAWT algorithm is designed, IAWT algorithm is used to filter noise in IMFs. Finally, the processed IMFs signal is reconstructed. The designed joint denoising algorithm is used to process simulation signals and experimental signals. Compared with WT, the signal-to-noise ratio of the signal processed by IAWT is improved by about 0.5dB, the correlation coefficient with the original signal is increased by about 0.03, and the root mean square error is reduced by about 0.01. By comparing the proposed method with CEEMDAN-WT and other methods, the signal-to-noise ratio of signal processed by the proposed method is improved by at least 1.37dB, and the signal characteristics are well preserved.

Key words： rolling bearing vibration signal noise reduction complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) improved adaptive wavelet threshold(IAWT);

收稿日期: 2022-05-04 出版日期: 2023-07-15

引用本文:

任海军，韦冲，谭志强，罗亮，丁显飞. 基于CEEMDAN-IAWT方法的滚动轴承振动信号降噪[J]. 振动与冲击, 2023, 42(13): 199-207.
REN Haijun, WEI Chong, TAN Zhiqiang, LUO Liang, DING Xianfei. Denoising of rolling bearing vibration signals based on CEEMDAN-IAWT method. JOURNAL OF VIBRATION AND SHOCK, 2023, 42(13): 199-207.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2023/V42/I13/199

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