基于分数阶滤波的全息阶比解调谱及齿轮早期故障诊断

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振动与冲击 ›› 2023, Vol. 42 ›› Issue (10) : 273-277.

论文

梅检民1，2，常春2，沈虹2，赵慧敏2，王双朋2

作者信息 +

Holographic-order envelop demodulation spectrum based on FRFT filter and early fault diagnosis of gear

MEI Jianmin1,2, CHANG Chun2, SHEN Hong2, ZHAO Huimin2, WANG Shuangpeng2

Author information +

文章历史 +

摘要

为提高变速器齿轮早期故障诊断的准确性和可靠性，提出了一种基于分数阶(fractional Fourier transform ,FRFT)滤波的全息阶比解调谱方法。对变速器变转速过程的水平与垂直测点振动包络信号进行分数阶滤波，分离出调制频率分量，再对分离后信号进行全息阶比谱分析，得到调制分量的全息阶比解调谱，并对齿轮早期点蚀故障进行故障诊断。试验结果表明：基于分数阶滤波的全息阶比解调谱，兼具分数阶滤波分离频率变化分量的特点与全息阶比谱融合多维特征的优势，既能有效分离变转速过程的调制分量，隔离其他分量和噪声干扰，又能有效融合两个方向的关键特征信息，有效诊断出单测点单特征方法难以识别的齿轮早期故障。

Abstract

In order to improve the accuracy and reliability of early fault diagnosis of transmission gear, a holographic- order envelop demodulation spectrum based on Fractional Fourier Transform (FRFT) filter is proposed. Firstly, the FRFT filter method is adopted to filter the vibration envelope signals in horizontal and vertical directions of the transmission acceleration process, and the modulation component is separated. Then the separated component is analyzed by order envelop demodulation spectrum, and the holographic- order envelop demodulation spectrum of modulation order component is obtained，and the pitting failure of gear is diagnosed. The experimental results show that the holographic order spectrum based on FRFT filtering combined with the characteristics of FRFT filtering to separate frequency variation components and the advantages of holographic order ratio spectrum fusion multi-dimensional features，it can not only effectively separate the modulation component from acceleration process, isolate other components and noise interference, but also effectively integrate the feature information of the two directions. Compared with the single measurement point single feature method, it is more effective in diagnosing the early pitting fault of the gear.

导出引用

梅检民1，2，常春2，沈虹2，赵慧敏2，王双朋2. 基于分数阶滤波的全息阶比解调谱及齿轮早期故障诊断[J]. 振动与冲击, 2023, 42(10): 273-277

MEI Jianmin1,2, CHANG Chun2, SHEN Hong2, ZHAO Huimin2, WANG Shuangpeng2. Holographic-order envelop demodulation spectrum based on FRFT filter and early fault diagnosis of gear [J]. Journal of Vibration and Shock, 2023, 42(10): 273-277

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