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振动信号频谱相对幅值的计算方法研究

3073    2015-06-02

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作者:胡永旭1, 林建辉1, 李艳萍2, 丁建明1

作者单位:1. 西南交通大学牵引动力国家重点实验室, 四川 成都 610031;
2. 西南交通大学机械工程学院, 四川 成都 610031


关键词:信号分析;相对幅值;希尔伯特变换;振动信号


摘要:

针对高速列车振动信号因速度变化而导致的谱密度参数幅值不一致问题,提出一种振动信号谱密度相对幅值的计算方法。该方法通过希尔伯特变换对振动信号求取瞬时相位,并对信号相位曲线进行傅里叶谱计算,求取振动信号的归一化谱密度,将列车在不同速度集下的振动谱密度统一起来。通过仿真测试和列车在160,200,250 km/h速度集下的实测齿轮箱振动信号频谱相对幅值计算,表明该方法在列车不同速度下结果具有良好的一致性,受噪声影响小,较好反应列车的真实运行状态,具有一定可靠性。


Studies on relative amplitude-calculating methods of vibration signal spectrums

HU Yongxu1, LIN Jianhui1, LI Yanping2, DING Jianming1

1. Traction Power Laboratory, Southwest Jiaotong University, Chengdu 610031, China;
2. College of Mechanical Engineering, Southwest Jiaotong University, Chengdu 610031, China

Abstract: This paper proposes a calculation method for relative amplitudes of vibration signal spectral densities to solve the instability of vibration signal amplitudes caused by the velocity change of rapid trains. The method used Hilbert transform to calculate the instantaneous phases of vibration signals and Fourier transform to calculate signal phase curves to obtain the normalized spectral densities of vibration signals. As a result, the vibration spectrum densities were united at different speeds. This method is consistent and reliable in calculation at different train speeds, unaffected by noises and well reflected the true state of train movement according to the simulation testing and relative amplitude calculation of actually-measured gearbox signal spectrums at the speeds of 160 km/h, 200 km/h and 250 km/h.

Keywords: signal analysis;relative amplitude;Hilbert transform;vibration signal

2015, 41(5): 90-93  收稿日期: 2014-9-22;收到修改稿日期: 2014-11-13

基金项目: 国家自然科学基金资助项目(61134002,51305358)

作者简介: 胡永旭(1989-),男,四川成都市人,硕士研究生,专业方向为信号分析与处理。

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