基于参数化滤波的旋转设备特征频率提取

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振动与冲击 ›› 2023, Vol. 42 ›› Issue (17) : 203-209.

论文

基于参数化滤波的旋转设备特征频率提取

位莎1，杨阳2，杜明刚2，何清波1，彭志科1,3

作者信息 +

Feature frequency extraction of rotating equipment based on parameterized filtering

WEI Sha1, YANG Yang2, DU Minggang2, HE Qingbo1, PENG Zhike1,3

Author information +

文章历史 +

摘要

本文针对强背景噪声下的特征提取问题，提出一种基于参数化滤波的旋转设备特征频率提取方法。首先，对目标特征频率进行瞬时频率的初步提取；其次，利用傅里叶基函数对初始瞬时频率进行拟合，得到所需特征频率的瞬时频率；最后，根据提取出的瞬时频率和瞬时幅值重构出提取后的频谱图，从而达到对噪声进行抑制并准确提取所需特征频率的目的。使用仿真信号验证了该方法的有效性，对齿轮传动系统中行星齿轮箱振动数据、轴承外圈故障振动数据及轴承外圈早期故障进行试验分析。结果表明，该方法能有效提高信号的信噪比，准确提取特征频率，增强故障特征。

Abstract

In this paper, a characteristic frequency extraction method of rotating machinery based on parametric filtering is proposed to solve the problem of feature extraction under strong background noise. Firstly, the instantaneous frequency of the target characteristic frequency is preliminary extracted. Secondly, the instantaneous frequency of the desired characteristic frequency is obtained by using the Fourier basis function to fit the initial instantaneous frequency. Finally, the Fourier spectrum is reconstructed according to the extracted instantaneous frequency and instantaneous amplitude, so as to achieve the purpose of suppressing noise and accurately extracting the required characteristic frequency. The effectiveness of the proposed method is verified by using the simulation signal. The vibration data of planetary gearbox in the gear transmission system, vibration data of bearing outer ring fault, and vibration data of bearing outer ring early fault are tested and analyzed. The results show that the proposed method can effectively improve the signal-to-noise ratio of the signal, accurately extract characteristic frequencies, and enhance fault features.

导出引用

位莎1，杨阳2，杜明刚2，何清波1，彭志科1,3. 基于参数化滤波的旋转设备特征频率提取[J]. 振动与冲击, 2023, 42(17): 203-209

WEI Sha1, YANG Yang2, DU Minggang2, HE Qingbo1, PENG Zhike1,3. Feature frequency extraction of rotating equipment based on parameterized filtering[J]. Journal of Vibration and Shock, 2023, 42(17): 203-209

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