Application of Daubechies wavelet on feature extraction and identification of dynamic error of machine tool

作者：Chen Dong Ju^*; Fan Jin Wei; Luo Tuo; Zhang Fei Hu

来源：Journal of Beijing University of Technology, 2012, 38(10): 1467-1473.

• Character analysis
• Daubechies Wavelet
• Dynamic error
• Error identification
• Extracting features
• Flatness error
• High frequency signals
• Low-frequency signals
• Power spectral density analysis
• Ultra precision

A new method for extracting feature of the dynamic error of machine tool from the flatness surface is proposed. The dynamic error is identified based on the character analysis of the test result. By Daubechies wavelet, the information that contains high frequency signal and low frequency signal is decomposed from the flatness error of workpiece surface. At the same time, the wavelet transform and power spectral density analysis are combined, and the dynamic errors of machine tool from the measured flatness error of workpiece are extracted and identified.

• 出版日期2012
• 单位北京大学