Based on WVD for the Processing State Identification Method of Machine Tool

Abstract:

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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)

Edited by:

Xin Chen

Pages:

107-111

DOI:

10.4028/www.scientific.net/AMR.317-319.107

Citation:

X. Li et al., "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:

$35.00

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