000021260 001__ 21260
000021260 005__ 20170522124346.0
000021260 04107 $$aeng
000021260 046__ $$k2017-05-15
000021260 100__ $$aBojarczak, P.
000021260 24500 $$aVISUAL DIAGNOSTICS OF RAIL FASTENING SYSTEM AS A METHOD TO IMPROVE SAFETY

000021260 24630 $$n23.$$pEngineering Mechanics 2017
000021260 260__ $$bBrno University of Technology, Institute of Solid Mechanics, Mechatronics and Biomechanics, Brno
000021260 506__ $$arestricted
000021260 520__ $$2eng$$aThe safety in railway transport is a very important aspect. Safety depends mainly on the state of railway infrastructure. Hence, the methods allowing for the assessment of the infrastructure should be developed. In the paper, authors present visual method allowing for diagnostics of rail fastening system. This method uses wavelet transform to extract feature and neural network to detect (classify) defect occurring in this system.

000021260 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000021260 653__ $$aVisual diagnostics, Rail fastening system, Neural network, Safety.

000021260 7112_ $$aEngineering Mechanics 2017$$cSvratka, CZ$$d2017-05-15 / 2017-05-18$$gEM2017
000021260 720__ $$aBojarczak, P.$$iŁukasik, Z.$$iNowakowski, W.
000021260 8560_ $$ffischerc@itam.cas.cz
000021260 8564_ $$s1067202$$uhttps://invenio.itam.cas.cz/record/21260/files/0182.pdf$$yOriginal version of the author's contribution in proceedings, page 182, section REL.
000021260 962__ $$r21225
000021260 980__ $$aPAPER