Parameter identification of friction model based on wavelet denoise
Xin Liu, Qiang Chen, Haonan Ye · 2012
To solve the noise pollution in signal detection of parameter identification, a de-noising approach using wavelet transform is proposed. The de-noising method is theoretically analyzed, experimental data which uses wavelet transformation, is compared with the one that uses Butterworth filer for cantilever friction model parameter identification, the results have proved the reliability of the experimental data denoised by wavelet and also have better access to parameter identification result.