Real-Time Identification of Media in a Laboratory-Scaled Penetrating Process
In this paper, a neural network technique is applied to
real-time classifying media while a projectile is penetrating through
them. A laboratory-scaled penetrating setup was built for the
experiment. Features used as the network inputs were extracted from
the acceleration of penetrator. 6000 set of features from a single
penetration with known media and status were used to train the neural
network. The trained system was tested on 30 different penetration
experiments. The system produced an accuracy of 100% on the
training data set. And, their precision could be 99% for the test data
from 30 tests.
[1] Min, Kwang S. and Min, Hisook L., "Real-time identification of a
medium for a high-speed penetrator", United States Patent 5,255,608 ,
1993.
[2] B.Widrow, D. E. Rumelhard, and M. A. Lehr, "Neural networks:
Applications in industry, business and science," Commun. ACM, vol. 37,
pp. 93-105, 1994.
[3] Guoqiang Peter Zhang, "Neural Networks for Classification: A Survey",
IEEE transactions on systems, man, and cyberneticsÔÇöpart c: applications
and reviews, vol. 30, no. 4, November 2000.
[4] Zukas, J. A., "Impact Dynamics", John Wiley & Sons. , 1982.
[5] Smith, S. W., "The Scientist and Engineer's Guide to Digital Signal
Processing", San Diego: California Technical Publishing. , 1997.
[6] Kenney, J. F. and Keeping, E. S., "Mathematics of Statistics", Princeton,
NJ: Van Nostrand, pp. 221-223 , 1962.
[7] Oppenheim, Alan V., Schafer, R. W., and Buck, J. R., "Discrete-time
signal processing", Upper Saddle River, N.J., Prentice Hall, 1999.
[1] Min, Kwang S. and Min, Hisook L., "Real-time identification of a
medium for a high-speed penetrator", United States Patent 5,255,608 ,
1993.
[2] B.Widrow, D. E. Rumelhard, and M. A. Lehr, "Neural networks:
Applications in industry, business and science," Commun. ACM, vol. 37,
pp. 93-105, 1994.
[3] Guoqiang Peter Zhang, "Neural Networks for Classification: A Survey",
IEEE transactions on systems, man, and cyberneticsÔÇöpart c: applications
and reviews, vol. 30, no. 4, November 2000.
[4] Zukas, J. A., "Impact Dynamics", John Wiley & Sons. , 1982.
[5] Smith, S. W., "The Scientist and Engineer's Guide to Digital Signal
Processing", San Diego: California Technical Publishing. , 1997.
[6] Kenney, J. F. and Keeping, E. S., "Mathematics of Statistics", Princeton,
NJ: Van Nostrand, pp. 221-223 , 1962.
[7] Oppenheim, Alan V., Schafer, R. W., and Buck, J. R., "Discrete-time
signal processing", Upper Saddle River, N.J., Prentice Hall, 1999.
@article{"International Journal of Mechanical, Industrial and Aerospace Sciences:55824", author = "Sheng-Hong Pong and Herng-Yu Huang and Yi-Ju Lee and Shih-Hsuan Chiu", title = "Real-Time Identification of Media in a Laboratory-Scaled Penetrating Process", abstract = "In this paper, a neural network technique is applied to
real-time classifying media while a projectile is penetrating through
them. A laboratory-scaled penetrating setup was built for the
experiment. Features used as the network inputs were extracted from
the acceleration of penetrator. 6000 set of features from a single
penetration with known media and status were used to train the neural
network. The trained system was tested on 30 different penetration
experiments. The system produced an accuracy of 100% on the
training data set. And, their precision could be 99% for the test data
from 30 tests.", keywords = "back-propagation, identification, neural network,penetration.", volume = "4", number = "8", pages = "640-5", }