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

Xi Li; Tian Xia; Dan Feng Feng

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

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 317-319Based on WVD for the Processing State...

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.

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Periodical:

Advanced Materials Research (Volumes 317-319)

Pages:

107-111

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.317-319.107

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Online since:

August 2011

Authors:

Xi Li, Tian Xia, Dan Feng Feng

Keywords:

Processing State Identification, Real-Time Monitoring, Winger-Ville Distribution

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