基于MATLAB的振动信号消除趋势项处理方法

在汽车整车振动试验时,采集前端受车载电源、温度及噪声等外部环境的干扰数值易偏离真实数值,给后续信号处理带来了误差甚至错误,因此振动信号的预处理在信号分析过程中非常重要。文章介绍了对汽车振动原始信号进行消除趋势项处理的主要方法,并在MATLAB编程平台上进行算法编程实现,给出了主要的程序代码。结果表明,振动信号在消除趋势项后得到了较好的改善。

Eliminating Tendency Processing Methods of Vibration Signal Based on MATLAB

In automotive vibration testing,the sampled signal is often deviated the real value because of outside interference,such as vehicle power supply,temperature,noise and so on.Error and mistake is taken place in the sequent analysis result.Therefore,the pre—processing of vibration signal is very important in the signal analysis.This paper mainly introduces the method of vibration signal pre—processing to eliminate polynomial trend items.Moreover,an algorithm program is realized based on MATLAB and the important program code is given.The results show that the vibration signal has been improved obviously after eliminating polynomial trend item.