Multi-Structural Instrument for Identifying Surface Defects on Rails

A multi-structural instrument for identifying surface defects on rails has been developed. The instrument operates based on intelligent analysis of video data, and it opens up a wide range of possibilities for using neural-network analysis of images in real time. The instrument can transform a color...

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Bibliographic Details
Published in:Metallurgist (New York) 2016-07, Vol.60 (3-4), p.351-357
Main Author: Trofimov, V. B.
Format: Article
Language:English
Subjects:
Automation
Characterization and Evaluation of Materials
Chemistry and Materials Science
Defects
Dynamical systems
Materials Science
Metallic Materials
Neural networks
Rails
Real time
Surface defects
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Description
Summary:A multi-structural instrument for identifying surface defects on rails has been developed. The instrument operates based on intelligent analysis of video data, and it opens up a wide range of possibilities for using neural-network analysis of images in real time. The instrument can transform a color image into a zero-contrast image, normalize video images, and convert them to binary form. It is distinguished by its real-time noise suppression, evaluation of indicators that provide information on defects, and automatic neural-network classification of defects. The instrument is used together with a dynamic expert system that employs a production model of knowledge representation.
ISSN:0026-0894
1573-8892
DOI:10.1007/s11015-016-0298-3