基于CCA和多通道循环维纳滤波的滚动轴承故障源分析

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摘要针对低信噪比下循环维纳滤波方法在滚动轴承故障源分析中失效的问题，提出一种基于规范相关分析(canonical correlation analysis，CCA)的多通道循环维纳滤波轴承故障源分析方法。首先利用CCA准则结合轴承单一故障的特征频率，提出了故障特征盲提取的共轭梯度优化算法。然后将现有单通道循环维纳滤波器推广到多通道循环维纳滤波，并将CCA盲提取得到的故障特征信号作为多通道循环维纳滤波的期望信号，从而恢复故障源信号。最后通过包络谱分析实现故障源识别。提出的方法利用盲信号提取技术从实际观测信号中获得循环维纳滤波所需的期望信号，避免了期望信号的人工合成方法过分依赖轴承参数和信号采样参数的问题。此外，提出的方法在故障源信号恢复过程中充分利用了所有通道信息，克服了单通道循环维纳滤波方法故障源信号恢复效果对高信噪比的严苛要求。仿真和实验结果表明，提出的方法极大地提高了滚动轴承故障源分析的可靠性。

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	张伟涛1
	张东江1
	纪晓凡1
	黄菊2

关键词 ：故障诊断, 滚动轴承, 循环维纳滤波器

Abstract：Aiming at the problem that the existing cyclic Wiener filter almost fail to diagnose the composite fault of bearing under the condition of low signal-to-noise ratio, we proposed a composite fault diagnosis method for rolling bearing based on CCA criterion and multi-channel cyclic Wiener filter. Firstly, the fault characteristic signal is extracted blindly under CCA criterion based on the proposed conjugate gradient descent algorithm, the extracted signal is then used as the expectation signal of cyclic Wiener filter, and the multi-channel information is used to recover the fault source signal. Finally, the analysis of the envelope spectrum of the fault source signal implemented the recognition of bearing fault. The simulation and experimental results show that compared with the single channel cyclic Wiener filtering method, the proposed method makes full use of the observations from all channels, which avoided the problem that the existing methods rely too much on the certain observation from high signal-to-noise ratio channel, and improved the reliability of cyclic Wiener filter for composite fault diagnosis of rolling bearing.

Key words： Fault diagnosis Rolling bearing Cyclic Wiener filter

收稿日期: 2022-10-31 出版日期: 2023-12-28

引用本文:

张伟涛1，张东江1，纪晓凡1，黄菊2. 基于CCA和多通道循环维纳滤波的滚动轴承故障源分析[J]. 振动与冲击, 2023, 42(24): 317-325.
ZHANG Weitao1, ZHANG Dongjiang1, JI Xiaofan1, HUANG Ju2. Fault analysis of rolling element bearing based on CCA and a multichannel cyclic Wiener filter. JOURNAL OF VIBRATION AND SHOCK, 2023, 42(24): 317-325.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2023/V42/I24/317

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