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