基于现代信号处理方法的动态测量误差分析

Research on dynamic measurement error analysis based on modern signal-processing methods

动态测量误差信号是包含多分量的非平稳信号,成分的复杂性决定了对动态测量误差的分析和处理需要结合多种信号处理方法。如傅里叶变换、小波变换和神经网络等。分析了各种信号处理方法的原理及其在非平稳信号处理中的应用,建立了一个动态测量误差分析仿真系统,对系统输出的动态测量误差进行分析,将总误差进行分解,找出引起此总误差的各组成单元带来的单项误差,为进一步更精确的进行动态精度评定、动态误差诊断与控制,提供了科学的理论依据。

Signals of dynamic measurement error include multi-component and non-stationary signals ,the analysis and treatment of dynamic measurement error should combine many methods of signal process,because of complex component of signals. For example,Fourier transform,Wavelet transform, methods of signal process ,and its application in non-stationary signals ,establish system of analysis and emulation of dynamic measurement error,analyze the output of dynamic measurement error of the system, and analytical combined error,find combined error causing by all units of simplex error,supply academic laws for dynamic accuracy assessment,diagnose and control dynamic error in more accurate way.