A approach to the of

ISA Transactions

Volumn 37, Issue 4, 1998, Pages 239-255

  Jiaa, Chi L ^a,b   Dornfeld, David A ^a,b  

^a Stormedia Inc   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; DATA HANDLING; DECISION MAKING; FORECASTING; MATHEMATICAL MODELS; TREES (MATHEMATICS); WEAR OF MATERIALS;

TOOL WEAR;

TOOLS;

EID: 0032319882     PISSN: 00190578     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0019-0578(98)00035-4     Document Type: Article

References (23)

1. L. Monostori, New trends in machine tool monitoring and diagnostics, Robotics and Computer-Integrated Manu-facturing 4 (3/4) (1988) 457 164.
2. P.M. Noaker, Smart sensing on the factory floor, Produc-tion (December 1988) pp. 42-48.
3. B.M.E. Moret, Decision trees and diagrams, Computering Survey 14 (4) (1982) 593-623.
4. L. Breiman, J.H. Frideman, R.A. Olshen, C.J. Stone, Classification and Regression Tree, Wadsworth, Belmont, CA: 1984.
5. I.G. Ivakhnenko, The group method of data handling-a rival method to stochastic approximation, Automation and Remote Control 1 (3) (1968) 43.
6. S.J. Farlow, Self-Organizing Methods in ModelingGMDH Type Algorithms, Marcel Dekker, New York, 1984.
7. K. Nagasaka, F. Hashimoto, Estimation of quality of chip disposal by GMDH of variable selection type, Int. J. Mach. Tool. Des. Res. 21 (3/4) (1981) 271-277.
8. T. Uematsu, N. Mohri, Prediction and detection of cutting tool failure by modified group method of data handling, Int. J. Mach. Tool. Des. Res. 26 (1) (1986) 69-80.
9. T. Yoshida, K. Nagasaka, Y. Kita, F. Hashimoto, Identi-fication of a grinding wheel wear equation of the abrasive cut-off by the modified GMDH, Int. J. Mach. Tool, Des. Res. 26 (3)) (1986) 283-292.
10. A.C.S. Kumar, A.K. Mehta, S.P. Dubeg, U.R.K. Rao, Modeling of grinding wheel life by the group method of data handling technique together with sensitivity analysis, Wear 127 (1988) 179-191.
11. P.Y. Chao, P.M. Ferreira, C.R. Liu, Applications of GMDH type modeling in manufacturing, Journal of Manufacturing Systems 7 (3) (1988) 241-250.
12. A.F. Ivakhnenko, Polynomial theory of complex systems, IEEE Trans. Man. Cybern, l (1971) 364-378.
13. S. Ikeda, Nonlinear prediction models for river flows and typhoon precipitation by self-organizing methods, in: S.J. Farlow (Ed.), Self-Organizing Methods in ModelingGMDH Type Algorithms, Marcel Dekker, New York, 1984 [Chapter 7, pp. 163].
14. S.J. Farlow, The GMDH algorithm, in: S.J. Farlow (Ed.), Self-Organizing Methods in Modeling-GMDH type algorithms, Marcel Dekker, New York, 1984 [Chapter 1, pp. 6-14].
15. C.L. Jiaa, D.A. Dornfeld, On-line tool condition monitoring in face milling with acoustic emission, Presented at the ASME Winter Annual Meeting, San Francisco, CA, 1989.
16. S. Liang, D.A. Dornfeld, Punch stretching process monitoring using acoustic emission signal-Part 1: basic characteristic, J. of Acoustic Emission 6(1) 26-36.
17. E. Kannatey-Asibu Jr., D.A. Dornfeld, A study of tool wear using statistical analysis of metal cutting acoustic emission, Wear 76 (2) (1982) 247-261.
18. M.S. Lan, D.A. Dornfeld, Experimental studies of tool wear via acoustic emission analysis, Proceedings 10th North American Manufacturing Research Conference, SME, 1982, pp. 305-311.
19. E.N. Diei, D.A. Dornfeld, Acoustic emission sensing of tool wear in peripheral milling, Tran. ASME, Journal of Engineering for Industry 109 (3) (1987) 234-240.
20. S. Rangwala, Machining process characterization and intelligent tool condition monitoring using acoustic emission signal analysis, Ph. D. thesis, Department of Mechanical Engineering, University of California, at Berkeley, CA, 1988.
21. E. Emel, E. Kannatey-Asibu Jr. Acoustic emission monitoring of the cutting process-negating the influence of varying conditions, in: E. Kannatey-Asibu Jr., Y. Koren, J.L. Stein (Eds.), Sensor and Controls for Manufacturing, ASME Winter Annual Meeting, December 1988.
22. A.D. Taglia, S. Portunato, P. Toni, An approach to online measurement of tool wear by spectrum analysis, 17th Proceedings of Machine Tool Design and Research Conference, 1976, pp. 141-148.
23. W. Konig, et al. Correlation between result force component and tool wear, Annals of the CIRP 21 (1) (1972) 19202.