Adaptive, neural-based signal processor

Details Adaptive, neural-based signal processor Adaptive, neural-based signal processor

1988-10-05

1990-12-18

Teska, Kevin J.

Boots, shoes, and leggings

73587, 364550, 364900, G06F 1546, G01N 2900

Patent

active

049791249

ABSTRACT:
A method and system for analyzing emission signals emanating from a test medium for the purpose of determining characteristics of the test medium. The system and method utilize adaptive neural processing to prognosticate futur

REFERENCES:
patent: 3103648 (1963-09-01), Hartmanis
patent: 3111645 (1963-11-01), Milford
patent: 3174031 (1965-03-01), Hartmanis et al.
patent: 3222654 (1965-12-01), Widrow et al.
patent: 3284780 (1966-11-01), Clapper
patent: 3287649 (1966-11-01), Rosenblatt
patent: 3355713 (1967-11-01), Andreae et al.
patent: 3435422 (1969-03-01), Gerhardt et al.
patent: 3440617 (1969-04-01), Lesti
patent: 3601811 (1971-08-01), Yoshino
patent: 3602888 (1971-08-01), Nishiyama et al.
patent: 3950733 (1976-04-01), Cooper
patent: 4254474 (1981-03-01), Cooper
patent: 4326259 (1982-04-01), Cooper
patent: 4414629 (1983-11-01), Waite
patent: 4644479 (1987-02-01), Kemper et al.
patent: 4697242 (1987-09-01), Holland et al.
patent: 4719583 (1988-01-01), Takafuji et al.
patent: 4752890 (1988-06-01), Natarajan et al.
patent: 4752906 (1988-06-01), Kleinfeld
patent: 4773024 (1988-09-01), Faggin et al.
patent: 4827418 (1989-05-01), Gerstenfeld
D. Robert Hay et al., "Classification of Acoustic Emission Signals from Deformation Mechanisms in Aluminum Alloys", Journal of Acoustic Emission, vol. 3, No. 3, (1984), pp. 118-129.
"An Introduction to Computing with Neural Nets"; Lippman IEEE ASSP Magazine; Apr. 1987; pp. 4-21.
"Neurocomputing: Picking the Human Brain"; R. Hecht-Nielson; IEEE Spectrum; Mar. 1988; pp. 36-41.
Wolfgang Sachse, "Applications of Quantitative AE Methods: Dynamic Fracture, Materials and Transducer Characterization," in J. D. Achenbach and Y. Rajapakse, ed. Solid Mechanics Research for Quantitative Non-destructive Evaluation (Dordrecht: Martinus Nijhoff Publishers, 1987), 41-64.
"Acoustic Emission Handbook," in Nondestructive Testing Handbook, vol. 5, Part IV (Columbus, OH: ASNT, 1988), 31-33.
Y. H. Pao, "Theory of Acoustic Emission," in idem, ed., Elastic Waves and Non-Destructive Testing of Materials (New York: Am. Soc. Mech. Engrs, 1987), 107-128.
W. Sachse and Y. H. Pao, "Locating and Characterizing Sources of Acoustic Emission," in R. B. Clough, ed., Quantitative NDE in the Nuclear Industry (Metals Park, OH: Am. Soc. Metals, 1982), 326-331.
C. B. Scruby, "Quantitative Acoustic Emission Techniques," in R. S. dSharpe, ed., Research Techniques in Nondestructive Testing (London: Acadamic Press, 1985), 141-210.
K. Y. Kim and W. Sachse, "Characteristics of an Acoustic Emission Source from a Thermal Crack in Glass", in Intl. J. Fracture, 21 (1986), 211-231.
K. Aki and P. G. Richards, Quantitative Seismology: Theory and Methods, vol. 1, (San Francisco: Freeman, 1980), Chap. 3.
A. N. Ceranoglu and Y. H. Pao, "Propagation of Elastic Pulses and Acoustic Emission in a Plate: Part I. Theory; Part II. Epicentral Response; Part III. General Responses," in ASME J. Appl Mech., 48 (1981), 125-147.
W. Sachse, C. Chang and K. Y. Kim, "Processing of AE Signals from Point and Extended Sources," in Proceedings of the IEEE Ultrasonics Symposium (New York: IEEE, 1984), 933-937.
C. P. Chen, P. N. Hsieh and W. Sachse, "Signal Processing Algorithms for AE Source Characterization," T&AM Report 1985-2, 1985.
T. Kohonen, Self-organization and Associative Memory (New York: Springer Verlag, 1989), 90-105 and 158-184.
M. A. Arbib, Brains, Machines and Mathematics, (New York: Springer Verlag, 1987), Chap. 4.

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