Support vector regression based tool wear assessment in face milling

Proceedings of the IEEE International Conference on Industrial Technology

Volumn , Issue , 2006, Pages 2468-2473

  Bhattacharyya, P ^a   Sanadhya, S K ^a  

^a INDIAN STATISTICAL INSTITUTE   (India)

Author keywords

Cutting force; Intelligent machining; Machine learning; Tool condition monitoring

Indexed keywords

CUTTING FORCE; INTELLIGENT MACHINING; MACHINE LEARNING; TOOL CONDITION MONITORING; TOOL WEARS;

ARTIFICIAL INTELLIGENCE; COMPUTER NETWORKS; DATA PROCESSING; FEATURE EXTRACTION; LEARNING ALGORITHMS; MILLING (MACHINING); RANDOM PROCESSES; ROBOT LEARNING; SUPPORT VECTOR MACHINES; TECHNOLOGY TRANSFER; VECTORS;

SIGNAL PROCESSING;

EID: 51349169615     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIT.2006.372659     Document Type: Conference Paper

References (23)

1. R.K. Datta, S. Paul, A.B. Chattopadhyay, "Fuzzy controlled baokpropagation neural network for tool condition monitoring in face milling," Int. J. Prod. Research, 2000, v38(13), pp 2989-3010.
2. S. Karuda, C. Bradley, "A review of machine vision sensors for tool condition monitoring," Computers in Industry, 1997, v34, pp 55-72.
3. B. Sick, "On-line and indirect tool wear monitoring in turning with artificial neural networks: a review of more than a decade of research," Mech. Sys. and Sig. Proc., 2002, v16(4), pp 487-546.
4. D.E. Dimla, Sr., "Sensor signals for tool wear monitoring in metal cutting operations- review of methods," Int. J. M/c Tools Mfg., 2000, v40, pp 1073-1098
5. S.T.S. Bukkapatnam, S.R.T. Kumara, A. Lakhtakia, "Fractal estimation of flank wear in turning," ASME. J. Dyn. Syst. Meas. Control, 2000, v122, pp 89-94.
6. O. Byrne, D. Dornfield, I. Inasaki, O. Kettler, W. Konig, R. Teti, "Tool condition monitoring (TCM) - the status of research and industrial applications," Annals of CIRP, 1995, v44, pp 541-567.
7. C. Scheffer, P.S. Heyns, "Wear monitoring in turning using vibration and strain measurements," Mech. Sys. and Sig. Proc., 2001, v15(6), pp 1185-1202
8. M. Balazinski, E. Czogala, K. Jamielnaik, J. Leski, "Tool condition monitoring using artificial intelligence," Engg. Application of Artificial Intelligence, 2002, v 15, pp 73-80.
9. N. Ohosh, Y.B. Ravi, A. Patra, S. Mukhopadhyay, S. Paul, A.R. Mohanty, A.B. Chattopadhyay, "Estimation of tool wear in a CNC milling machine using Neural Network based sensor fusion," in press, Mech. Sys. and Sig. Proc(DOI:10.1016/j.ymssp.2005.10.010)
10. H. Saglam, A. Unuvar, "Tool condition monitoring in face milling based on cutting forces by a neural network," Int. J. of Prod. Research, 2003, v41, pp 1519-1532.
11. S.E. Oraby, D.R. Hayhurst, "Cutting tool condition monitoring using surface texture via neural network," Int. J. of M/c Tools Mfg., 2004, v44, pp 1261-1269.
12. T. Szecsi, "Automatic Cutting-Tool Condition monitoring on CNC lathes," J. of Material processing Technology, 1998, vol. 77, pp 64-69
13. J. Sun, O.S. Hong, M. Rahman, Y.S. Wong, "Improved performance evaluation of tool condition identification by manufacturing loss consideration," Int. J. Prod. Research, 2005, v42(5) pp 901-918
14. J. Sun, O.S. Hong, M. Rahman, Y.S. Wong, "Identification of feature set for effective tool condition monitoring by acoustic emission sensing," Int. J. Prod. Research, 2004, v42(5)pp 901-918
15. V. Vapnik, Nature of Statistical learning theory, 2nd ed., Springer-Verlag, 1999, v19, New York.
16. V. Vapnik, S. Oolowich, A. Smola, "Support vector method for function approximation and regrseeion estimation and signal processing," Adv. in Neural Info. Proc. systems, 1996, v9, pp 281-287.
17. S. Haykins, "Neural Networks: A comprehensive foundation," Prentice Hall, 1999, New Jersey.
18. M.A. Elbestawi, J. Marks, T. Papazafiriou, "Process monitoring in milling using pattern recognition," Mech. Syst. and Sig. Proc., 1989, v3, pp 305-315
19. Y. Altintas, I. Yellowley, J. Tlusty, "The detection of tool breakage in milling operations," J. of Engg. for Industry, 1988, v 110, pp 271-277.
20. R.E. Barlow, D.J. Barthalomew, J.M. Bremner, H.D. Brunk, Statistical inference under order restriction, John Wiley, NY.
21. D. Sengupta, S.R. Jammalamadaka, Linear models :An integrated approach, World Scientific, NY.
22. M. Stone, "Cross-validation: choice and assessment of predictions," J. of Royal Stat. Society, 1974, vB36, pp 111-133.
23. C. Chang, C. Lin, LIBSVM: A library for support vector machines, 1999, URL : http://www.csie.ntu.edu.tw/~cjlin/libsvm