DocumentCode :
1576057
Title :
Object detection by precision radiowave defectoscope based on a slot radiator with a use of artificial neural network
Author :
Melnychuk, A.O. ; Yakymiv, R.M. ; Liske, O.M.
Author_Institution :
Lviv Polytech. Nat. Univ., Lviv, Ukraine
fYear :
2011
Firstpage :
324
Lastpage :
326
Abstract :
In this paper dual polarization radiator construction based on slot lines was designed for use in the nondestructive testing of materials and components. For analysis of obtained spectrograms, artificial neural network (ANN) was developed. ANN can specify object composition and thickness, as well as it can detect presence and character of heterogeneities.
Keywords :
electrical engineering computing; electromagnetic wave polarisation; flaw detection; horn antennas; materials testing; object detection; radiowave propagation; slot antennas; slot lines; artificial neural network; dual polarization radiator construction; microwave horn antennas; nondestructive material testing; object detection; precision radiowave defectoscope; slot lines; slot radiator; spectrograms; Artificial neural networks; Materials; Metals; Neurons; Resonant frequency; Spectrogram; artificial neural network; dual polarization slot radiator; nondestructive testing of materials;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antenna Theory and Techniques (ICATT), 2011 VIII International Conference on
Conference_Location :
Kyiv
Print_ISBN :
978-1-4577-2211-0
Type :
conf
DOI :
10.1109/ICATT.2011.6170772
Filename :
6170772
Link To Document :
بازگشت