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作者:

Chen, Dong-Ju (Chen, Dong-Ju.) (学者:陈东菊) | Fan, Jin-Wei (Fan, Jin-Wei.) (学者:范晋伟) | Luo, Tuo (Luo, Tuo.) | Zhang, Fei-Hu (Zhang, Fei-Hu.)

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摘要:

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.

关键词:

Discrete wavelet transforms Errors Extraction Feature extraction Machine tools Power spectral density Signal processing Spectral density Wavelet analysis

作者机构:

  • [ 1 ] [Chen, Dong-Ju]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Fan, Jin-Wei]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Luo, Tuo]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Zhang, Fei-Hu]School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China

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来源 :

Journal of Beijing University of Technology

ISSN: 0254-0037

年份: 2012

期: 10

卷: 38

页码: 1467-1473

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