Data processing: artificial intelligence – Neural network – Learning task
Reexamination Certificate
2011-04-19
2011-04-19
Vincent, David R (Department: 2129)
Data processing: artificial intelligence
Neural network
Learning task
C324S633000, C702S036000, C702S075000, C702S108000, C073S577000
Reexamination Certificate
active
07930259
ABSTRACT:
A nondestructive inspection apparatus includes a sensor unit for detecting vibrations transmitted through a test object from a vibration generator and a signal input unit for extracting a target signal from an electric signal outputted from the sensor unit. An amount of characteristics extracting unit is also included for extracting multiple frequency components from the test signal as an amount of characteristics. Further, a decision unit has a competitive learning neural network for determining whether the amount of the characteristics belongs to a category, wherein the competitive learning neural network has been trained by using training samples belong to the category representing an internal state of the test object, wherein distributions of membership degrees of the training samples are set in the decision unit.
REFERENCES:
patent: 5419197 (1995-05-01), Ogi et al.
patent: 5589635 (1996-12-01), Baudrillard et al.
patent: 5904215 (1999-05-01), Ikeda
patent: 6198843 (2001-03-01), Nakauchi et al.
patent: 6275761 (2001-08-01), Ting
patent: 6386038 (2002-05-01), Lewis, III et al.
patent: 6915217 (2005-07-01), Springer et al.
patent: 7024315 (2006-04-01), Giurgiutiu
patent: 7290450 (2007-11-01), Brown et al.
patent: 7539549 (2009-05-01), Discenzo et al.
patent: 7778947 (2010-08-01), Hashimoto
patent: 2002/0161914 (2002-10-01), Belenki
patent: 2004/0249520 (2004-12-01), Maine
patent: 2005/0075846 (2005-04-01), Kim
patent: 2006/0071666 (2006-04-01), Unsworth et al.
patent: 2006/0112042 (2006-05-01), Platt et al.
patent: 2006/0122810 (2006-06-01), Clarke et al.
patent: 04-084754 (1992-03-01), None
patent: 04-124782 (1992-04-01), None
patent: 05-333079 (1993-12-01), None
patent: 07-311185 (1995-11-01), None
patent: 08-320875 (1996-12-01), None
patent: 2005-140707 (2005-06-01), None
patent: 2006-038478 (2006-02-01), None
Neural Networks, http://web.archive.org/web/20061210150242/http://www.statsoft.com/textbook/stneunet.html, Dec. 10, 2006, downloaded Sep. 13, 2010.
“Automated Sensory Inspection Based on Vibration and Acoustic Information”, Ikeda Kazutaka et al., MEW Technical Report, Japan, Matsushita Electric Works, Ltd., Jun. 20, 2006, vol. 54/No. 2, pp. 42-48.
F.W. Margrave et al., “The use of neural networks in ultrasonic flaw detection”, Measurement, Institute of Measurement and Control, vol. 25, No. 2, pp. 143-154, Mar. 1, 1999.
Zhao et al., “Ultrasound based glass fragments detection in glass containers filled with beverages using neural networks and short time Fourier transform”, Food Research International, Elsevier Applied Science, vol. 39, No. 6, pp. 686-695, Jul. 1, 2006.
The European Search Report dated May 18, 2010.
Hashimoto Yoshihito
Himezawa Hidekazu
Bacon & Thomas PLLC
Panasonic Electric Works Co., Ltd.
Vincent David R
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