Real-time tool condition monitoring using wavelet transforms and fuzzy techniques

IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews

Volumn 30, Issue 3, 2000, Pages 352-357

  Li, Xiaoli ^a   Tso, Shiu Kit ^b   Wang, Jun ^c  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^c CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

DRILLING; ELECTRIC CURRENT MEASUREMENT; FUZZY SETS; SENSORS; SIGNAL PROCESSING; WAVELET TRANSFORMS; WEAR OF MATERIALS;

BREAKAGE; CURRENT SENSORS; FUZZY CLASSIFICATION METHODS; INTELLIGENT TOOL CONDITION MONITORING SYSTEM; REAL TIME TOOL CONDITION MONITORING;

CUTTING TOOLS;

EID: 0034240553     PISSN: 10946977     EISSN: None     Source Type: Journal    
DOI: 10.1109/5326.885116     Document Type: Article

References (19)

1. D. Li and J. Mathew, "Tool wear and failure monitoring techniques for turning - A review," Int. J. Mach. Tools Manufact., vol. 30, no. 4, pp. 579-598, 1990.
2. X. Li and Z. Yuan, "Tool wear monitoring with wavelet packet transform-fuzzy clustering method," Wear, vol. 219, no. 2, pp. 145-154, 1998.
3. M. A. Mannan, S. Broms, and B. Lindustrom, "Monitoring and adaptive control of cutting process by means of motor power and current measurements," Ann. CIRP, vol. 38, no. 1, pp. 347-350, 1989.
4. M. A. Mannan and N. Tomas, "The behavior of static torque and thrust due to tool wear in drilling," Tech. Rep., North Amer. Manufact. Res. Inst. SME, 1997.
5. G. Byrne, D. Dornfeld, I. Inasaki, G. Ketteler, W. Konig, and R. Teti, "Tool condition monitoring (TCM) - The status of research and industrial application," Ann. CIRP, vol. 44, no. 2, pp. 541-567, 1995.
6. X. Li, Y. Yao, and Z. Yuan, "On-line tool condition monitoring system with wavelet fuzzy neural network," J. Intell. Manufact., vol. 8, pp. 271-276, Aug. 1997.
7. W. Gong, T. Obikawa, and T. Shirakashi, "Monitoring of tool wear states in turning based on wavelet analysis," JSME Int. J. Ser. III-Vibr. Contr. Eng. Ind., vol. 40, pp. 447-453, Sept. 1997.
8. G. S. Hong, M. Rahman, and Q. Zhou, "Using neural network for tool condition monitoring based on wavelet decomposition," Int. J. Mach. Tools Manufact., vol. 36, pp. 551-566, May 1996.
9. Ya Wu and R. Du, "Feature extraction and assessment using wavelet packets for monitoring of machining processes," Mech. Syst. Signal Process., vol. 10, pp. 29-53, Jan. 1996.
10. Q. Zhou, G. S. Hong, and M. Rahman, "New tool life criterion for tool condition monitoring using a neural network," Eng. Applicat. Artif. Intell., vol. 8, pp. 579-588, Oct. 1995.
11. N. Kasashima, K. Mori, G. H. Ruiz, and N. Taniguchi, "Online failure detection in face milling using discrete wavelet transform," Ann. CIRP, vol. 44, no. 1, pp. 483-487, 1995.
12. I. N. Tansel, C. Mekdeci, and C. McLaughlin, "Detection of tool failure in end milling with wavelet transformations and neural networks (WT-NN)," Int. J. Mach. Tools Manufact., vol. 35, pp. 1137-1147, Aug. 1995.
13. I. N. Tanasel, C. Mekdeci, C. Rodriguez, and O. Uragun, "Monitoring drill conditions with wavelet based encoding and neural networks," Int. J. Mach. Tools Manufact., vol. 33, pp. 559-575, Aug. 1993.
14. Y. Koren, T. Ko, and A. Galip, "Flank wear estimation under varying cutting conditions," J. Dyn. Syst., Meas., Contr, vol. 113, pp. 300-307, 1991.
15. G. Strang and T. Nguyen, Wavelets and Filter Banks. Cambridge, U.K.: Wellesley-Cambridge Press, 1996.
16. Y. Meyer, Wavelets: Algorthms and Applications. Phiadelphia, PA: SIAM, 1993.
17. X. Li, "On-line detection of the breakage of small diameter drills using current signature wavelet transform," Int. J. Mach. Tools Manufact., vol. 39, no. 9, pp. 157-164, 1999.
18. X. Li and S. K. Tso, "Drill wear monitoring based on current signals," Wear, vol. 231, pp. 172-178, 1999.
19. X. Li, "Identification of tool wear states with fuzzy classification," Int. J. Comput. Integr. Manufact., vol. 12, no. 6, pp. 503-509, 1999.