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An automated methodology for performing time synchronous averaging of a gearbox signal without speed sensor

机译:在没有速度传感器的情况下执行变速箱信号时间同步平均的自动化方法

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In this paper we extend a sensorless algorithm proposed by Bonnardot et al. for angular resampling of the acceleration signal of a gearbox submitted to limited speed fluctuation. The previous algorithm estimates the shaft angular position by narrow-band demodulation of one harmonic of the mesh frequency. The harmonic was chosen by trial and error. This paper proposes a solution to select automatically the mesh harmonic used for the shaft angular position estimation. To do so it evaluates the local signal-to-noise ratio associated to the mesh harmonic and deduces the associated low-pass filtering effect on the time synchronous average (TSA) of the signal. Results are compared with the TSA obtained when using a tachometer on an industrial gearbox used for wastewater treatment. The proposed methodology requires only the knowledge of an approximate value of the running speed and the number of teeth of the gears. It forms an automated scheme which can prove useful for real-time diagnostic applications based on TSA where speed measurement is not possible or not advisable due to difficult environmental conditions.
机译:在本文中,我们扩展了Bonnardot等人提出的无传感器算法。用于在有限的速度波动下对变速箱的加速度信号进行角度重采样。先前的算法通过对网格频率的一个谐波进行窄带解调来估计轴角位置。谐波是通过反复试验选择的。本文提出了一种自动选择用于轴角位置估计的网格谐波的解决方案。为此,它评估了与网格谐波相关的局部信噪比,并推导了对信号的时间同步平均值(TSA)的相关低通滤波效果。将结果与在用于废水处理的工业齿轮箱上使用转速计获得的TSA进行比较。所提出的方法仅需要了解行驶速度的近似值和齿轮的齿数。它形成了一个自动化方案,可以证明对于基于TSA的实时诊断应用有用,在这些情况下,由于恶劣的环境条件无法进行速度测量或不建议进行速度测量。

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