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A new time domain filtering method for calculating the RMS value of vibration signals

机译:一种计算振动信号均方根值的时域滤波新方法

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In the process of vibration signal analysis, the relative mean square (RMS) value of vibration signal is an important index, which should be measured by a frequency domain method or time domain method. In the paper, the FFT is applied to obtain the RMS value of amplitude at each frequency signal, and then the total relative mean value is also calculated the whole vibration signal by the time domain algorithm. From the results, it can be found that the error is easily to be produced due to larger T cycle in low frequency process. So, by adding a low filter before the calculation of the RMS value, a new modified method is proposed to eliminate the error caused by the noninteger times period. The simulation signal is also established by MATLAB software, and it is proved that the new method can effectively improve the accuracy of the RMS value.
机译:在振动信号分析过程中,振动信号的相对均方根(RMS)值是一个重要指标,应通过频域方法或时域方法进行测量。本文应用FFT来获得每个频率信号振幅的RMS值,然后通过时域算法计算整个振动信号的总相对平均值。从结果可以发现,由于低频过程中较大的T周期,很容易产生误差。因此,通过在计算RMS值之前添加一个低滤波器,提出了一种新的改进方法,以消除由非整数时间段引起的误差。通过MATLAB软件建立仿真信号,证明了该方法可以有效提高RMS值的精度。

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