小波变换的流体压力信号自适应滤波方法研究

为了有效地消除流体压力信号中的噪声,提出了一种基于小波变换的自适应滤波算法,该算法针对信号和噪声经小波变换后在不同尺度上的特征不同,先对信号进行小波多尺度分解,然后对各尺度分解的信号分别选用不同的滤波参数,进行自适应滤波处理,并用该方法对液压系统运行中采集的压力信号进行降噪处理.试验结果表明,该方法比普通的自适应滤波方法能更有效地消除流体压力信号中的噪声.

Adaptive Filtering Method for Fluid Pressure by Using Wavelet Transform

In order to suppress noises in fluid pressure signals, an adaptive filter ing algorithm by using wavelet transform was proposed. The fluid pressure signal and the noise both have different features after wavelet transform on different scales, which lay a foundation for the algorithm. Firstly, the signal was decomposed with wavelet on multim scales, and then av ariety of signal filtering parameters were determined for different scaled signa ls. Finally, an adaptive filter processing was conducted. The filtering result of the pressure signal obtained in the hydraulic system shows the method is more effective than others.