Self-organizing feature maps and hidden Markov models for machine-tool monitoring

IEEE Transactions on Signal Processing

Volumn 45, Issue 11, 1997, Pages 2787-2798

  Owsley, Lane M D ^a   Atlas, Les E ^a   Bernard, Gary D ^b  

^a University of Washington   (United States)

^b BOEING COMPANY   (United States)

Author keywords

Feature extraction; Hidden markov models; Machine tools, manufacturing; Pattern recognition; Self organizing feature maps; Time frequency representations

Indexed keywords

CUTTING TOOLS; FREQUENCY DOMAIN ANALYSIS; LEARNING ALGORITHMS; MARKOV PROCESSES; TIME DOMAIN ANALYSIS; VIBRATIONS (MECHANICAL);

HIDDEN MARKOV MODEL (HMM); MACHINE TOOL MONITORING; SELF ORGANIZING FEATURE MAPS (SOFM);

FEATURE EXTRACTION;

EID: 0031268934     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/78.650105     Document Type: Article

References (55)

1. R. U. Ayres, "Complexity, reliability and design: Manufacturing implications," Manuf. Rev., vol. 1, no. 1, pp. 26-35, 1988.
2. S. A. Basile, "Modeling and monitoring drill bit transverse motions," Ph.D. Dissertation, Appl. Phys. Lab., Johns Hopkins Univ., Baltimore, MD, 1992.
3. S. Braun, E. Lenz, and C. L. Wu, "Signature analysis applied to drilling," ASMEJ. Eng. Industry, vol. 104, pp. 268-276, 1982.
4. G. Byrne, "Intelligent sensors in manufacturing," in Proc. Workshop Daimler-Benz, Ulm, Germany, 1992.
5. Y. B. Chen and S. M. Wu, "A real.time automated diagnostic monitoring system for manufacturing processes," in Proc. ASME, IEEE, HE, Manuf. Int., Atlanta, GA, Mar. 25-28, 1990, vol. 5, p. 51.6.
6. G. S. Choi, Z. Wang, and D. A. Dornfeld, "Adaptive optimal control of machining process using neural networks," in Proc. IEEE Int. Conf. Robotics Automat., 1991, pp. 1567-1572.
7. F. Critchley and I. Ford, "Interval estimation in discrimination: The multivariate normal equal covariance case," Biometrica, vol. 72, no. 1, pp. 109-116, 1985.
8. D. A. Dornfeld, "Review of sensors for manufacturing process monitoring," in Proc. CIRP SIC "C" Meet., Paris, France, 1992.
9. _, "Signal processing for automatic supervision," Automat. Supervision, ch. 10, 1994.
10. E. Erwin, K. Obermayer, and K. Schulten, "Self-organizing maps: Ordering, convergence properties, and energy functions," Biolog. Cybern., vol. 67, pp. 47-55, 1992.
11. J. Fang, L. Atlas, and G. Bernard, "Advantages of quadratic detectors for analysis of manufacturing sensor data," in Proc. IEEE Signal Process. Symp. Time-Freq. Time-Scale Anal., Victoria, B.C., Canada, 1992.
12. B. Flury, Common Principal Components and Related Multivariate Models. New York: Wiley, 1988.
13. R. J. Fornaro and T. A. Dow, "A high.performance machine tool controller," in Conf. Rec. 1988 Industry Applications Soc. Annu. Meet., Pittsburgh, PA, Oct. 1988, vol. 2, pp. 1429-1439.
14. A. Gersho and R. M. Gray, Vector Quantization and Signal Compression. Dordrecht, The Netherlands: Kluwer, 1992.
15. J. A. Hartigan and M. A. Wong, "A k-means clustering algorithm," Appl. Statist., vol. 28, pp. 100-108, 1979.
16. J. A. Hartigan, Clustering Algorithms. New York: Wiley, 1979.
17. H. R. Hayashi and C. E. Thomas, "Automatic tool touch breakage detection in turning," in Proc. Sensors 1985, Detroit, MI, Nov. 1985.
18. L. P. Heck and J. H. McClellan, "Mechanical system monitoring using hidden Markov models," in Proc. ICASSP Toronto, Ont., Canada, May 14-17, 1991, vol. 3, p. 1697.700.
19. S. Y. Hong, "Self-learning system for knowledge based diagnoses of drill condition in fully automatic manufacturing system," in Proc. SPIE, vol. 1707, pp. 195-206, 1992.
20. T. H. Hou and L. Lin, "Manufacturing process monitoring using neural networks," Comput. Elect. Eng., vol. 19, no. 2, pp. 129-141, Mar. 1993.
21. X. D. Huang, Hidden Markov Models for Speech Recognition. Edinburgh, U.K.: Edinburgh Univ. Press, 1990.
22. J. N. Hwang and H. Li, "A translation/rotation/scaling/occusion invariant neural network for 2D/3D object classification," in Proc. ICASSP IEEE Int. Conf. Acoust., Speech, Signal Process., San Francisco, CA, Mar. 23-26, 1992, vol. 2, pp. 397-400.
23. I. Inasaki, "Monitoring or cutting and grinding in Japan," in Proc. Workshop Tool Condition Monitoring, D. Dornfeld and G. Byrne, Eds. CIRP: Paris, France, 1994, vol. III.
24. J. R. Koelsch, "Smart controls spell productivity," Manuf. Eng., pp. 436, May 1991.
25. T. Kohonen, Self-Organization and Associative Memory. New York: Springer-Verlag, 1989.
26. _, "The self-organizing map," Proc. IEEE, vol. 78, pp. 1464-1480, 1990.
27. A. Krogh et al., "Hidden Markov models in computational biology: Applications to protein modeling," J. Molecular Biol., vol. 235, pp. 1501-1531, 1994.
28. C. J. Li, J. Ma, B. Hwang, and G. W. Nickerson, "Pattern recognition based bicoherence analysis of vibrations for bearing condition monitoring," ASME, Sensors, Contr., Monitoring Issues, 1991
29. Y. Linde, A. Buzo, and R. M. Gray, "An algorithm for vector quantizer design," IEEE Trans. Commun., vol. COM-28, pp. 84-95, Jan. 1980.
30. P. J. Loughlin, J. M. Pitton, and L. E. Atlas, "Bilinear time-frequency representations: New insights and properties," IEEE Trans. Signal Processing vol. 41, pp. 750-765, Feb. 1993.
31. M. Lucke, B. Stange, M. Fulsche, and B. Hentschel, "Development of machine tool monitoring systems for flexible manufacturing cells: Turning," Wissenschaftliche Zeitschrift der Technischen Universitaet Dresden, vol. 38, no. 5.6, pp. 207-211, 1989.
32. J. C. MacBain, K. G. Harding, and O. Tekinaip, "Vibration modes and frequencies of twist drills using laser holographic interferometry," in Sensors and Controls in Manuf., E. Kannatey-Asibu, Jr., A. G. Olsoy, and R. Komanduri, Eds. New York: AMSE, vol. 18.
33. B. Najafi and H. Hakim, "Spectral estimators for machine vibration analysis," Mech. Syst. Signal Process., vol. 6, no. 6, pp. 551-574, 1992.
34. S. B. Narayanan, G. B. Bernard, L. E. Atlas, and J. F. Fang, "Feature representations for monitoring of tool wear," presented at ICASSP, 1994 Adelaide, South Australia.
35. L. M. Oliva, "Expert systems: Manufacturing savants for the 90's," in Proc. AUTOFACT, Soc. Manuf. Eng., Chicago, IL, Nov. 10-14, 1991, pp. 15-9-12.
36. L. M. D. Owsley, Ordered Vector Quantization for Pattern Recognition, Master's thesis, Univ. Washington, Seattle, 1994.
37. L. M. D. Owsley, L. E. Atlas, and G. D. Bernard, "Automatic clustering of vector time-series for manufacturing machine monitoring," in Proc. IEEE ICASSP, Munich, Germany, 1997, pp. 3393-3396.
38. _, "Feature extraction networks for dull tool monitoring," in Proc. IEEE SP Int. Conf. Acoust., Speech, Signal Process., Detroit, MI, 1995, pp. 3355-3358.
39. T. Pfeifer and J. Elzer, "Measuring drill wear with digital image processing," Meas., vol. 8, no. 3, pp. 132-136. July-Sept. 1990.
40. K. Ramamurthi, D. P. Shaver, and A. M. Agogino, "Real time expert system for predictive diagnostics and control of drilling operation," in Proc. Sixth Conf. Artificial Intell. Applicat., Santa Barbara, CA, May 5-9, 1990, vol. 1, pp. 62-69.
41. P. S. Ramaswamy, S. G. Ram, and S. C. Bose, "Learning expert system for on-line control of manufacturing process," Syst. Sei., vol. 18, no. 4, pp. 45-53, 1992.
42. S. Rangwala and D. Dornfeld, "Sensor integration using neural networks for intelligent tool condition monitoring," ASME J. Eng. Industry, vol. 112, no. 3, pp. 219-228, Aug. 1990.
43. J. Rodrigues and L. Almeida, "Improving the learning speed in topological maps of patterns," in Proc. 1990 Int. Neural Network Conf., vol. 2, pp. 813-816.
44. J. Shore and R. Gray, "Minimum cross-entropy pattern classification and cluster analysis," IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-4, pp. 11-17, 1982.
45. M. Szafarczyk, Ed., Manufacturing. London, U.K., Springer-Verlag, pp. 209-250.
46. P. Smyth, "Markov monitoring with unknown states," in Advances in Neural Information Processing 9, M. C. Mozer, M. I. Jordan, and Petsche, Eds. Cambridge, MA: MIT Press, 1997.
47. I. N. Tansel and C. McLaughlin, "Monitoring of tool breakage with restricted coulomb energy type neural networks," ASME, Sensors, Contr. Quality Issues, vol. 55, pp. 378, 1991.
48. T. Yoon and J. C. Principe, "A knowledge-based supervision model for machine tools," in Proc. 13th Annu. Int. Comput. Software Applications Conf., Orlando, FL, Sept. 20-22, 1989, pp. 779-780.
49. A. G. Ulsoy and Y. Koren, "Applications of adaptive control in machine tool process control," IEEE Contr. Syst. Mag., vol. 9, pp. 33-37, 1989.
50. _, "Control of machining process," J. Dyn. Syst., Meas. Contr., vol. 115, pp. 301-308, June 1993.
51. Y. Zhao, L. Atlas, and R. Marks, "The use of cone-shaped kernels for GTFR's of nonstationary signals," IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-38, pp. 1084-1091, 1990
52. P. Zhen, M. Fujita, and B. Bavarian, "Analysis of neighborhood interaction in Kohonen neural networks," in Proc. Fifth Int. Parallel Process. Symp., 1991, pp. 246-249.
53. Rep. Nat. Critical Technologies Panel, U.S. Dept. Commerce, Nat. Tech. Inform. Service, p. 71, Mar. 1991.
54. Second Biennial Rep. Nat. Critical Technologies Panel, U.S. Dept. Commerce, Nat. Tech. Inform. Service, p. 22, Jan. 1993.
55. Nat. Res. Council, "Sensor technology" Unit Manuf. Processes: Issues Opportun. Res., Washington, D.C., 1995, p. 136.