Automatic Ultrasonic Testing of Materials with Neural Network

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Izvoz citacije: ABNT
LUNAR-PEČEK, Bojana ;GRABEC, Igor .
Automatic Ultrasonic Testing of Materials with Neural Network. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 42, n.1-2, p. 17-26, july 2017. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/sl/article/automatic-ultrasonic-testing-of-materials-with-neural-network/>. Date accessed: 01 mar. 2024. 
doi:http://dx.doi.org/.
Lunar-Peček, B., & Grabec, I.
(1996).
Automatic Ultrasonic Testing of Materials with Neural Network.
Strojniški vestnik - Journal of Mechanical Engineering, 42(1-2), 17-26.
doi:http://dx.doi.org/
@article{.,
	author = {Bojana  Lunar-Peček and Igor  Grabec},
	title = {Automatic Ultrasonic Testing of Materials with Neural Network},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {42},
	number = {1-2},
	year = {1996},
	keywords = {Neural Network; Testing of Materials; },
	abstract = {The applicability of the neural network model to ultrasonic testing of materials is investigated. An experimental measuring system consisting of ultrasonic defectoscope, digital oscilloscope and a computer is described. The structure and the operation of the back-propagation neural network is represented. The system with a single ultrasonic normal probe was tested on several artificial, and real defects occurring in industrial products.},
	issn = {0039-2480},	pages = {17-26},	doi = {},
	url = {https://www.sv-jme.eu/sl/article/automatic-ultrasonic-testing-of-materials-with-neural-network/}
}
Lunar-Peček, B.,Grabec, I.
1996 July 42. Automatic Ultrasonic Testing of Materials with Neural Network. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 42:1-2
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%! Automatic Ultrasonic Testing of Materials with Neural Network
%K Neural Network; Testing of Materials; 
%X The applicability of the neural network model to ultrasonic testing of materials is investigated. An experimental measuring system consisting of ultrasonic defectoscope, digital oscilloscope and a computer is described. The structure and the operation of the back-propagation neural network is represented. The system with a single ultrasonic normal probe was tested on several artificial, and real defects occurring in industrial products.
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%V 42
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%7 2017-07-06
Lunar-Peček, Bojana, & Igor  Grabec.
"Automatic Ultrasonic Testing of Materials with Neural Network." Strojniški vestnik - Journal of Mechanical Engineering [Online], 42.1-2 (1996): 17-26. Web.  01 Mar. 2024
TY  - JOUR
AU  - Lunar-Peček, Bojana 
AU  - Grabec, Igor 
PY  - 1996
TI  - Automatic Ultrasonic Testing of Materials with Neural Network
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - Neural Network; Testing of Materials; 
N2  - The applicability of the neural network model to ultrasonic testing of materials is investigated. An experimental measuring system consisting of ultrasonic defectoscope, digital oscilloscope and a computer is described. The structure and the operation of the back-propagation neural network is represented. The system with a single ultrasonic normal probe was tested on several artificial, and real defects occurring in industrial products.
UR  - https://www.sv-jme.eu/sl/article/automatic-ultrasonic-testing-of-materials-with-neural-network/
@article{{}{.},
	author = {Lunar-Peček, B., Grabec, I.},
	title = {Automatic Ultrasonic Testing of Materials with Neural Network},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {42},
	number = {1-2},
	year = {1996},
	doi = {},
	url = {https://www.sv-jme.eu/sl/article/automatic-ultrasonic-testing-of-materials-with-neural-network/}
}
TY  - JOUR
AU  - Lunar-Peček, Bojana 
AU  - Grabec, Igor 
PY  - 2017/07/06
TI  - Automatic Ultrasonic Testing of Materials with Neural Network
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 42, No 1-2 (1996): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - Neural Network, Testing of Materials, 
N2  - The applicability of the neural network model to ultrasonic testing of materials is investigated. An experimental measuring system consisting of ultrasonic defectoscope, digital oscilloscope and a computer is described. The structure and the operation of the back-propagation neural network is represented. The system with a single ultrasonic normal probe was tested on several artificial, and real defects occurring in industrial products.
UR  - https://www.sv-jme.eu/sl/article/automatic-ultrasonic-testing-of-materials-with-neural-network/
Lunar-Peček, Bojana, AND Grabec, Igor.
"Automatic Ultrasonic Testing of Materials with Neural Network" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 42 Number 1-2 (06 July 2017)

Avtorji

Inštitucije

  • Iskraemeco, Kranj, Slovenia
  • University of Ljubljana, Faculty of Mechanical Engineering, Slovenia

Informacije o papirju

Strojniški vestnik - Journal of Mechanical Engineering 42(1996)1-2, 17-26
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.

The applicability of the neural network model to ultrasonic testing of materials is investigated. An experimental measuring system consisting of ultrasonic defectoscope, digital oscilloscope and a computer is described. The structure and the operation of the back-propagation neural network is represented. The system with a single ultrasonic normal probe was tested on several artificial, and real defects occurring in industrial products.

Neural Network; Testing of Materials;