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Multi-Structural Instrument for Identifying Surface Defects on Rails

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Metallurgist Aims and scope

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.

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References

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This research was supported by Russian Federation Presidential Grant No. MK-4068.2015.8.

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Authors and Affiliations

  1. Siberian State Industrial University, Novokuznetsk, Russia

    V. B. Trofimov

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  1. V. B. Trofimov
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Correspondence to V. B. Trofimov.

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Translated from Metallurg, No. 4, pp. 11–16, April, 2016.

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Trofimov, V.B. Multi-Structural Instrument for Identifying Surface Defects on Rails. Metallurgist 60, 351–357 (2016). https://doi.org/10.1007/s11015-016-0298-3

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  • DOI: https://doi.org/10.1007/s11015-016-0298-3

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