DocumentCode
542430
Title
Electromagnetic rail-flaw detection signal analysis based on the artificial neural networks
Author
Nichoga, V.P. ; Yakymiv, R.M. ; Romanyshyn, Y.M.
Author_Institution
Radioelectron. Devices & Syst. Dept., Lviv Polytech. Nat. Univ., Lviv, Ukraine
fYear
2011
fDate
23-25 Feb. 2011
Firstpage
109
Lastpage
110
Abstract
In this paper the application of the artificial neural network for the identification of signals of rail fault 21 are given. At the beginning of the diagnostics process preliminary processing of fault detection signals is worked out and fragments of signals, which can correspond to defects, are picked out for their further research.
Keywords
flaw detection; neural nets; railways; signal detection; artificial neural networks; electromagnetic rail-flaw detection signal analysis; signal identification; Artificial neural networks; Electromagnetics; Fault diagnosis; Magnetic sensors; Neurons; Rails; Non-destructive testing; artificial neural networks; electro-magnetic rail-flaw detection system;
fLanguage
English
Publisher
ieee
Conference_Titel
CAD Systems in Microelectronics (CADSM), 2011 11th International Conference The Experience of Designing and Application of
Conference_Location
Polyana-Svalyava
Print_ISBN
978-1-4577-0042-2
Electronic_ISBN
978-966-2191-17-2
Type
conf
Filename
5744388
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