A method of recognizing tool-wear states based on a fast algorithm of wavelet transform

Journal of Materials Processing Technology

Volumn 170, Issue 1-2, 2005, Pages 374-380

  Li, Weihong ^a   Gong, Weiguo ^a   Obikawa, T ^b   Shirakashi, T ^c  

^a Chongqing University   (China)

^b Tokyo Institute of Technology ^*  (Japan)

^c TOKYO DENKI UNIVERSITY   (Japan)

Author keywords

Cutting force signal; Cutting tool; Fourier analysis; Quadrature mirror filter pair; Wavelet analysis; Wear of materials

Indexed keywords

ALGORITHMS; CUTTING TOOLS; DIGITAL FILTERS; FOURIER TRANSFORM INFRARED SPECTROSCOPY; TURNING; WAVELET TRANSFORMS;

CUTTING FORCE SIGNAL; FOURIER ANALYSIS; QUADRATURE MIRROR FILTER PAIR; WAVELET ANALYSIS;

WEAR OF MATERIALS;

EID: 27344434284     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmatprotec.2005.05.018     Document Type: Article

References (13)

1. Takahiro Shirakashi, Weiguo Gong, and Tosiyuki Obikawa In-process monitoring of tool damage by active method - behavior of damping ratio with tool wear development J. Japan Soc. Prec. Eng. 61 12 1995 1750 1754 (in Japanese)
2. Takahiro Shirakashi, Weiguo Gong, and Tosiyuki Obikawa In-process monitoring of tool damage by active method - behavior of damping ratio with cutting conditions J. Japan Soc. Prec. Eng. 62 8 1996 1146 1150 (in Japanese)
3. T. Obikawa, C. Kaseda, T. Matsumura, W.G. Gong, and T. Shirakashi Tool wear monitoring for optimizing cutting conditions J. Mater. Process. Technol. 62 4 1996 374 379
4. Weiguo Gong, Weihong Li, T. Shirakashi, and T. Obikawa An active method of monitoring tool wear states by diagnostic impulse excitation Int. J. Mach. Tools Manufact. 44 7 2004 847 854
5. L.C. Lee On the correlation between dynamic cutting force and tool wear Int. J. Mach. Tools Manufact. 29 3 1989 295 303
6. S.B. Rao Tool wear monitoring through the dynamics of stable turning ASME J. Eng. Indust. 108 1986 183 190
7. I.N. Tansel Monitoring drill conditions with wavelet based encoding and neural networks Int. J. Mach. Tools Manufact. 33 4 1993 559 575
8. I.N. Tansel Detection of tool failure in end milling with wavelet transformations and neural networks (WT-NN) Int. J. Mach. Tools Manufact. 35 9 1995 137 147
9. T. Kawai Application of wavelet analysis to monitoring of cutting conditions in milling JSME 60 579 1994 262 267
10. Weiguo Gong, T. Obikawa, and T. shirakashi Monitoring of tool wear states in turning based on wavelet analysis JSME Int. J. 40 3 1997 447 453
11. I. Daubechies Orthonormal bases of compactly support wavelets Comm. Pure Appl. Math. 41 1988 909 997
12. S.G. Mallat A theory for multiresolution signal decomposition: the wavelet representation IEEE Trans. 11 7 1989 674 693
13. G.J. Lay Detection of tool wear by dynamic component of cutting force JSPE 50 7 1984 49 54