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A Method for Estimation of Motor Rotational Speed from STFT Spectrogram at a Non-stationary Conditions

机译:一种在非静止条件下从STFT频谱图估计电动机转速的方法

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Vibration signals acquired from rotational machines may be measured without a tacho signal for different reasons - either the speed sensor cannot be mounted due to construction reasons, speed was not measured, or the tacho signal is corrupted or not accurate enough in case of higher speeds. This paper shows STFT spectrogram based approach to determine speed profile from multiple time-varying frequency components that can be used for instance for direct processing by a Vold-Kalman filter (VKF). The method functionality is demonstrated on a simulated signal as well as on a vibration signal measured using an accelerometer on electric motor during the run-up conditions, while the rotational speed was not measured. The only known information is maximum rotational speed, presence of run-up in the signal and the motor geometry. Conducted experiment showed that despite the simple approach that resides in utilization of only one method that results directly the speed profile, the method can handle larger rotational speed changes while having enough resolution needed for VKF processing.
机译:从旋转机器获取的振动信号可以在没有Tacho信号的情况下被测出于不同的原因,由于施工原因,速度传感器不能安装,速度未测量,或者在更高速度的情况下,Tacho信号损坏或不准确。本文示出了基于STFT频谱图的方法,以确定可以用于通过Vold-Kalman滤波器(VKF)直接处理的多个时变频分量的速度分布。在模拟信号上对方法以及在加速条件期间在电动机上使用加速度计测量的振动信号,而不是测量的旋转速度。唯一已知的信息是最大转速,信号在信号中的存在和电机几何形状。进行的实验表明,尽管在仅使用一种方法的情况下实现了一种方法,但是该方法可以处理更大的转速变化,同时具有足够的VKF处理所需的分辨率。

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