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Tacholess computed order tracking method via STFT and Vold-Kalman filtering

机译:STFT和Vold-Kalman滤波的无测速计算阶跟踪方法

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摘要

Order tracking (OT) is considered as a classic and effective technique for the non-stationary vibration analysis of rotating machinery. Traditionally, additional hardware such as a tachometer is required to provide a reference signal. To extend the applications of the OT technique, some tacholess OT methods were proposed recently. However, they are only applicable to those with small speed fluctuations. A new tacholess OT method is established in this article, which is applicable to the cases with large speed variation such as in the run up/down processes. In this method, the instantaneous frequency of one harmonic of rotation frequency is first estimated by time-frequency analysis. Vold-kalman filtering is then employed to extract the harmonic from the overall signal. Finally, the original signal is resampled by using the instantaneous phase of the extracted harmonic. In this way, the OT method can be carried out without tachometer. Simulations and experiments show that the results obtained through this method are almost the same good as those obtained through a tachometer under large speed variation. Furthermore, an incipient fault of gear is detected efficiently for a gearbox by using this method under large speed variation.
机译:订单跟踪(OT)被认为是旋转机械非平稳振动分析的经典且有效的技术。传统上,需要其他硬件(例如转速计)来提供参考信号。为了扩展OT技术的应用,最近提出了一些无测速OT方法。但是,它们仅适用于速度波动小的情况。本文建立了一种新的无测速OT方法,该方法适用于速度变化较大的情况,例如在启动/停止过程中。在该方法中,首先通过时频分析来估计旋转频率的一个谐波的瞬时频率。然后采用Vold-kalman滤波从整个信号中提取谐波。最后,使用提取的谐波的瞬时相位对原始信号进行重新采样。这样,可以在没有转速计的情况下执行OT方法。仿真和实验表明,在大的速度变化下,通过这种方法获得的结果与通过转速表获得的结果几乎相同。此外,通过使用该方法在大的速度变化下有效地检测出齿轮箱的齿轮的初始故障。

著录项

  • 来源
    《International journal of comadem》 |2015年第1期|41-48|共8页
  • 作者单位

    School of Mechanical Engineering Xi 'an Jiaotong University, Xi 'an, China;

    School of Mechanical Engineering Xi 'an Jiaotong University, Xi 'an, China,State Key Laboratory for Manufacturing Systems Engineering, Xi 'an Jiaotong University, Xi 'an, China;

    School of Mechanical Engineering Xi 'an Jiaotong University, Xi 'an, China,State Key Laboratory for Manufacturing Systems Engineering, Xi 'an Jiaotong University, Xi 'an, China;

    School of Mechanical Engineering Xi 'an Jiaotong University, Xi 'an, China,State Key Laboratory for Manufacturing Systems Engineering, Xi 'an Jiaotong University, Xi 'an, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Order tracking; Vold-Kalman filter; Time-frequency representation; Hilbert transform;

    机译:订单跟踪;Vold-Kalman滤波器;时频表示;希尔伯特变换;

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