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

Xiuhua Men, Haining Liu, Naijian Chen, Fajia Li
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Abstract

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.
一种计算振动信号均方根值的时域滤波新方法
在振动信号分析过程中,振动信号的相对均方(RMS)值是一项重要指标,应采用频域法或时域法进行测量。本文首先利用FFT得到各频率信号幅值的均方根值,然后利用时域算法计算整个振动信号的总相对均值。从结果可以看出,低频过程中由于T周期较大,容易产生误差。为此,提出了一种新的改进方法,通过在RMS值计算前增加一个低滤波器,消除非整数倍周期带来的误差。通过MATLAB软件建立了仿真信号,证明了新方法能有效提高均方根值的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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