• DocumentCode
    131780
  • Title

    Using EMD to Extract Characteristic Values of the Tool Vibration Signals

  • Author

    Zhanshuai Shao ; Min Huang ; Le Yan

  • Author_Institution
    Beijing Inf. Sci. & Technol. Univ., Beijing, China
  • fYear
    2014
  • fDate
    10-11 Jan. 2014
  • Firstpage
    799
  • Lastpage
    802
  • Abstract
    According to the problem that tool wear fault diagnosis of CNC machine, the method was put forward that vibration signal was processed by empirical mode decomposition (EMD). In the paper, tow methods were used to deal with collected data to obtain characteristic values, then the two groups of characteristic values were respectively input into the support vector machine (SVM) for pattern recognition to verify the validity of the empirical mode decomposition (EMD) method.
  • Keywords
    computerised numerical control; cutting tools; fault diagnosis; feature extraction; machine tools; mechanical engineering computing; signal processing; support vector machines; vibrations; wear; CNC machine; EMD; SVM; cutting tools; empirical mode decomposition; pattern recognition; support vector machine; tool vibration signal extraction; tool wear fault diagnosis; Automation; Mechatronics; EMD; characteristic values; tool wear; vibration signal;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2014 Sixth International Conference on
  • Conference_Location
    Zhangjiajie
  • Print_ISBN
    978-1-4799-3434-8
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2014.197
  • Filename
    6802814