齿轮故障振动啮合调幅调频信号分离方法
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TH132.41

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国家自然科学基金资助项目(51705156,51875206);广东省自然科学基金资助项目(2017A030310557);中国博士后特等资助(2018T110863);广州市科技计划项目(201904010387)


A separation method of faulty gear vibration AM-FM signal
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    摘要:

    齿轮故障时振动信号中同时存在调幅调频信号。基于齿轮故障振动啮合调制信号数学模型,利用平方幅值解调和基于调频信号与第一类贝塞尔函数之间关系的频率解调方法,分别建立关于调幅和调频参数的非线性方程组;再应用最小二乘优化算法求解参数,提出一种调幅调频信号准确分离的新方法。并将离散频谱校正技术用于提高该分离方法的准确性。仿真结果表明:该方法精度高,抗干扰能力强;分离出的调频信号比希尔伯特变换和基于能量算子解调求解的调频信号精度高。实验分析表明,不同故障分离的调幅调频信号存在明显的特征和差异,从而为齿轮箱故障提供了一种新的诊断方法。

    Abstract:

    The vibration signal of faulty gears simultaneously includes amplitude modulation(AM) and frequency modulation(FM)components. Based on the mathematic modulation model of fault gears,square amplitude demodulation and the frequency demodulation according to the relation of FM with the Bessel function of the first kind are respectively used to establish system of nonlinear equations about AM and FM parameters. Least-square optimization algorithm is then applied to solve these parameters.An accurate separation method of AM and FM is proposed,where discrete spectrum correction technique is employed to improve the correctness. Simulation results show that this method possesses high accuracy and strong immunity from interference,and is superior to Hilbert demodulation and the demodulation based on the energy operator in accuracy. Experimental analyses demonstrate modulation signals separated from different gear faults have obvious features and differences,which provides a diagnosis method for fault gearbox.

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杨小青,丁 康,何国林.齿轮故障振动啮合调幅调频信号分离方法[J].振动工程学报,2021,34(2):372~378.[YANG Xiao-qing, DING Kang, HE Guo-lin. A separation method of faulty gear vibration AM-FM signal[J]. Journal of Vibration Engineering,2021,34(2):372~378.]

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  • 在线发布日期: 2022-09-21
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