Road a vehicle simulation model is an important foundation, three-dimensional virtual road show whether the accuracy of information on the actual road ride comfort, durability, accuracy of the results have an important impact. In order to obtain accurate surface model, the need for a large number of typical road roughness measurement and statistical features and full of local characteristics. The road model and three-dimensional reproduction of virtual road before, due to road roughness of the test data mixed with all kinds of noise and interference, removal of these external interference is critical for modeling and representation, and it directly determines the model's accuracy or even correctness. This paper describes the signal data processing and wavelet theory of the development process of the application at home and abroad. Three of the classical wavelet denoising algorithm and its implementation steps, comparing the advantages and disadvantages, and the energy element is proposed based on Neyman-Pearson criterion and the new threshold algorithm, and simulation and experimental analysis of its applicability efficiency of the road after the data were measured denoising. The article also carried out non-stationary filtered white noise road four-wheel-related time-domain model of excitation using wavelet multi-resolution analysis and local analysis of time-frequency analysis of its characteristics. The results show that the wavelet transform to the signal on the roughness characteristics of non-stationary transient time-frequency localization accuracy, which is vibration source identification, diagnosis and abnormal Pavement Distress signal processing provides a new method and theoretical basis. For the statistical properties of roughness, presented with small spectral resolution and accuracy estimation.
Key words: road roughness, wavelet denoising, non-stationary road surface excitation model, time-frequency analysis, power spectrum estimation
No comments:
Post a Comment