VISUAL DIAGNOSTICS OF RAIL FASTENING SYSTEM AS A METHOD TO IMPROVE SAFETY
Abstract eng: The 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.
Contributors:
Publisher:
Brno University of Technology, Institute of Solid Mechanics, Mechatronics and Biomechanics, Brno
Conference Title:
Conference Title:
Engineering Mechanics 2017
Conference Venue:
Svratka, CZ
Conference Dates:
2017-05-15 / 2017-05-18
Rights:
Text je chráněný podle autorského zákona č. 121/2000 Sb.
Record appears in:
Record created 2017-05-22, last modified 2017-05-22
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