A Research on a Method of Error Separation Based on Wavelet Analysis

Gang Yao; Jian Jun  Zhao; Jing Jie Sun

doi:10.4028/www.scientific.net/AMM.380-384.3774

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 380-384A Research on a Method of Error Separation Based...

A Research on a Method of Error Separation Based on Wavelet Analysis

Abstract:

According to the error character of the systematic error and random error in calibration data, we put forward using wavelet analysis method to the process of separating error. We give the basic principle and method to dispose random error with Wavelet Analysis. When choosing the threshold, we use GCV(Generalized Cross Validation) principle. Then use IA to search the best value of GCV function and realize the separation simulation of random error in the MATLAB. During the selection operation of IA(Immune Algorithm), the expecting propagation probability is computed in order to guarantee the diversity of the colony and the robustness of algorithm. The results of simulation show that the combination of Wavelet Transform and IA can achieve the aim of separation and have some application prospect in this field.

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Periodical:

Applied Mechanics and Materials (Volumes 380-384)

Pages:

3774-3777

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.380-384.3774

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Online since:

August 2013

Authors:

Gang Yao, Jian Jun Zhao, Jing Jie Sun

Keywords:

Error Separation, GCV, Random Error, Systematic Error, Wavelet Analysis

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