Paper Title:
Based on WVD for the Processing State Identification Method of Machine Tool
  Abstract

The processing state identification for CNC machine tool is not only key to achieve intelligent control, also is an important part for stability of real-time monitoring. This paper presents a basic model which used CNC machine tool spindle current signal mapping to the processing load signal, and then by the different load conditions cutting tests, compared with the Winger - Ville distribution(WVD) of those signals. Intuitive to find that time-frequency distribution compared with the traditional spectral analysis, not only is capable of with time-varying characteristics of the non-stationary signals, and more effectively reflect the state of machining process, and the instability of the processing status of the border with more strong discrimination capability.

  Info
Periodical
Advanced Materials Research (Volumes 317-319)
Chapter
Materials and Its Applications
Edited by
Xin Chen
Pages
107-111
DOI
10.4028/www.scientific.net/AMR.317-319.107
Citation
X. Li, T. Xia, D. F. Feng, "Based on WVD for the Processing State Identification Method of Machine Tool", Advanced Materials Research, Vols. 317-319, pp. 107-111, 2011
Online since
August 2011
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Price
$32.00
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