Grinding process supervision via information distance measure†

References

• ABRAHAMS , J. , 1982 , On the selection of measures of distance between probability distributions . Information Science , 26 , 109 .
   Google Scholar
• BARRODALE , I. , et al., 1983 , Computational experience with Marple's algorithm for AR spectrum analysis . Geophysics , 48 , 1274 .
   Google Scholar
• GERSH , W. , 1981 , Nearest neighbour rule classification of stationary and nonstationary time series . Applied Time Series Analysis ( Academic Press Inc .) pp. 221 – 269 .
   Google Scholar
• KAZAK0S , D. 1980 , Spectra distance measure between gaussian processes . IEEE Trans ., AC-25 , 950 – 958 .
   Google Scholar
• Qu LIANGSHENCHEN RENHAN , 1987 , On-line surveillance of grinding process via Kullback- Leibler information number . Mechanism and Machine Theory , 22 , 231 – 236 .
   Google Scholar
• Qu LIANGSHENWu SONGLIN , 1986 , An experimental research on optical fiber sensor and its application to the grinding process supervision . Proceedings of the ASME Winter Meeting ( Symposium on Sensors and Controls for Manufacturing ).
   Google Scholar
• PRIESTLEY , M. B. , 1981 , Spectral Analysis and Time Series , vol. I ( New York Academic Press ), p. 373 .
   Google Scholar
• CHEN RENHANQu LIANGSHEN , 1984 , Automated recognition of grinding wheel wear . Journal of the Grinder and Grinding Process , 2 ( in Chinese ).
   Google Scholar
• TOHKURA , Y. , and ITAKURA , F. , 1978 , Spectral smoothing technique in PARCOR speech analysis-synthesis . IEEE Trans ., ASSP-26 , 597 .
   Google Scholar
• †Project supported by the Science Fund of the Chinese Academy of Sciences. Paper presented at 9th International Conference on Production Research, held in Cincinnati, USA, 17-20 August 1987
   Google Scholar