Decomposition of Dynamic Measurement Error Based on Hilbert-Huang Transform
LI Rui-jun · Hangkong jice jishu · 2012
The selection of different basis functions with the methods such as Fourier transform and wavelet transform will lead to different results in the decomposition of dynamic measurement error.Hilbert-Huang transform(HHT) for dynamic measurement error decomposition is proposed in this paper.The method does not need to select the basis function and can decompose the dynamic measurement error signal adaptively.The error model of whole system was established for a hybrid dynamic measurement system.The total errors of the measurement system were analyzed with Hilbert-Huang transform.The result of Hilbert-Huang transform decomposition is more accurate than Fourier transform and wavelet transform decomposition results and is consistent with the measurement error model.