优化调制信号双谱及转向架齿轮箱轴承故障诊断

Spectral modulation signal bispectrum and bogie gearbox bearing fault diagnosis

  • 摘要: 调制信号双谱旨在从调制谱及载波谱的角度解析信号中的故障特征,但转向架齿轮箱轴承故障初期的低幅值给解调过程带来极大的干扰。为解决该问题,本文提出一种优化调制信号双谱(optimized modulation signal bispectrum,OMSB)。通过对频域幅值的重新配置,可有效调整信号中不同特征信息的比例,进而增强故障特征在双谱域的幅值。通过基于常规双谱信号频率之间的一次耦合关系对信号进行解调,可解析信号中的特征信息。同时,提出了双谱信噪比用于定量评价二维数据中的故障特征,优化双谱解调结果并使特征清晰化。通过仿真信号和试验信号验证了该方法在转向架齿轮箱轴承故障诊断中的有效性。

     

    Abstract: Modulation signal bispectrum (MSB) aims to analyze the fault characteristics in the signal from the perspective of modulation spectrum and carrier spectrum, but the low amplitude of the bogie gearbox bearing faults at the initial stage brings great interference to the demodulation process. In order to solve this problem, this paper proposes a new optimized modulation signal bispectrum (OMSB). Through the reconfiguration of the amplitude in the frequency domain, the proportion of different feature information in the signal can be effectively adjusted, which in turn enhances the amplitude of fault features in the bispectrum domain. By demodulating the signal based on the primary coupling relationship between the frequencies of conventional bispectral signals, the feature information in the signal can be resolved. Meanwhile, the bispectrum signal-to-noise ratio is proposed for quantitatively evaluating the fault features in 2D data, optimizing the bispectral demodulation results and clarifying the features. The effectiveness of this method in the diagnosis of bogie gearbox bearing faults is verified by simulation and experimental signals.

     

/

返回文章
返回