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Sensors 2019, 19(6), 1376; https://doi.org/10.3390/s19061376

On the Use of Microwave Holography to Detect Surface Defects of Rails and Measure the Rail Profile

1
Remote Sensing Laboratory, Bauman Moscow State Technical University, Moscow 105005, Russia
2
Russian University of Transport, Moscow 127994, Russia
*
Author to whom correspondence should be addressed.
Current address: 5, 2nd Baumanskaya str., Moscow 105005, Russia.
Received: 25 February 2019 / Revised: 13 March 2019 / Accepted: 15 March 2019 / Published: 19 March 2019
(This article belongs to the Special Issue Radar and Radiometric Sensors and Sensing)
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Abstract

The use of microwave holography for detecting rail surface defects is considered in this paper. A brief review of available sources on radar methods for detecting defects on metal surfaces and rails is given. An experimental setup consisting of a two-coordinate electromechanical scanner and a radar with stepped frequency signal in the range from 22.2 to 26.2 GHz is described, with the help of which experimental data were obtained. Fragments of R24 rails with surface defects in their heads were used as the object of study. The radar images of rail defects were obtained by the described method based on back propagation of a wavefront. It is shown that polarization properties of electromagnetic waves can be used to increase the contrast of small-scale surface defects. A method of estimating rail surface profile by radar measurements is given and applied to the experimental data. Comparison of the longitudinal rail head profiles obtained by radar and by direct contact measurements showed that the radar method gives comparable accuracy. View Full-Text
Keywords: microwave holography; rail profile measurement; rail defects; rail inspection; imaging radar; non-contact measurements microwave holography; rail profile measurement; rail defects; rail inspection; imaging radar; non-contact measurements
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Zhuravlev, A.; Razevig, V.; Ivashov, S.; Skrebkov, A.; Alekseev, V. On the Use of Microwave Holography to Detect Surface Defects of Rails and Measure the Rail Profile. Sensors 2019, 19, 1376.

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