Dynamic Correction of Sensitivity of Flaw Detection Channels in High-Speed Rail Inspection
Source abstract
Abstract
Abstract An increase in the reliability of high-speed ultrasonic testing of elongated objects, in particular, railroad rails, is considered. It is shown that the current regulatory documents do not take into account the features of high-speed testing of rails, are focused on compliance with the initially specified parameters, and cannot provide the required reliability of defect detection. The factors that appear at high scanning speeds and negatively affect the quality of testing are considered. Most of these factors cannot be quantified to account for them and appropriately adjust testing parameters. The possible under rejection of defects when working in accordance with the current requirements has been assessed. To ensure more reliable testing in unpredictable and dynamic conditions of high scanning speeds, it is proposed to evaluate the current testing sensitivity by analyzing signals from typical structural reflectors of the test object. When inspecting rails, it is possible to use typical holes in the area of bolted joints that are regularly encountered along the scanning path as such reflectors. An expression is obtained for determining the magnitude of the correction of testing sensitivity taking into account the scanning speed and the measured parameters of the signals from the holes. An algorithm for dynamic correction of the testing sensitivity is proposed that increases the reliability of defect detection under high-speed scanning conditions.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Non-Destructive Testing Techniques · Ultrasonics and Acoustic Wave Propagation · Welding Techniques and Residual Stresses
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (18)
Show source-provided references
1. Clark, R., Rail flaw detection: Overview and needs for future developments, NDT &E Int., 2004, vol. 37, no. 2, 2004, pp. 111–118.10.1016/j.ndteint.2003.06.002 ↗
2. Krautkremer, J. and Krautkremer, G., ul’trazvukovoi kontrol’ materialov. Spravochnik (Ultrasonic Testing of Materials. A Handbook), Moscow: Metallurgiya, 1991.
3. Xu, P., Zhu, C., Zeng, H., and Wang, P., Rail crack detection and evaluation at high speed based on differential ECT system, Measurement, 2020, vol. 166, p. 108152.10.1016/j.measurement.2020.108152 ↗
4. Markov, A.A. and Kuznetsova, E.A., Defektoskopiya rel’sov. Formirovanie i analiz signalov. Kn. 2. Rasshifrovka defektogramm (Defectoscopy of Rails. Formation and Analysis of Signals. Book 2: Interpretation of Defectograms), St. Petersburg: Ul’tra Print, 2014.
5. Tarabrin, V.F., System of standardization and metrological support of high-speed means of rail defectoscopy during their production and operation, Kontrol’. Diagn., 2021, no. 5 (275), pp. 14–29.10.14489/td.2021.05.pp.014-029 ↗
6. Markov, A.A. and Maximova, E.A., Analyzing ultrasonic signal parameters during high-speed rail inspection, Russ. J. Nondestr. Test., 2021, vol. 57, no. 3, pp. 181–194.10.1134/S1061830921030037 ↗
7. Gurvich, A.K. and Ermolov, I.N., Ul’trazvukovoi kontrol' svarnykh shvov (Ultrasonic Inspection of Welds), Kiev: Tekhnika, 1972.
8. Scherbinskii, V.G., Tekhnologiya ul’trazvukovogo kontrolya svarnykh soyedineniy (Technology of Ultrasonic Testing of Welded Joints), St. Petersburg: SVEN, 2014.
9. Gurvich, A.K. and Kuz’mina, L.I., Spravochnye diagrammy napravlennosti iskatelei ul’trazvukovykh defektoskopov (Reference Directional Patterns of Finders in Ultrasonic Flaw Detectors), Kiev: Tekhnika, 1980.
10. Murav’ov, V.V., Murav’ov, O.V., and Bayteryakov, A.V., Strukturno-Chuvstvitil’nie Akusticheskie Parametri Konstruktsionnikh Stalei (Structurally Sensitive Acoustic Parameters of Structural Steels), Izhevsk: Izhevsk. Gos. Tekh. Univ., 2020.
11. Markov, A.A., Peculiarities of evaluating the conditional sizes of defects at significant scanning speeds, Defektoskopiya, 1989, no. 3, pp. 8–16.
12. Yuan, F., Yu, Y., Wang, W., and Tian, G., A novel probe of DC electromagnetic NDT based on drag effect: Design and application in crack characterization of high-speed moving ferromagnetic material, IEEE Trans. Instrum. Meas., 2021, vol. 70. https://doi.org/10.1109/TIM.2021.306903610.1109/TIM.2021.3069036 ↗
13. Markov, A.A., Zakharova, O.F., and Mosyagin, V.V., The use of a sweep of the “B” type for detecting cracks in the area of holes in bolted joints of railway rails, Defektoskopiya, 1999, no. 6, pp. 78–92.
14. Huang, X.Y., Shi, Y.S., Zhang, Y.H., Li, P., Xiong, L.H., and Zhong, Y.C., BP neural network based on rail flaw classification of RFD car’s B-scan data, China Railway, 2018, no. 3, pp. 82–87.
15. Molotkov, S.L., Sensitivity and amplitude measured characteristics of the defect. Review of changes in rail flaw detection over a quarter of a century, V Mire NK, 2020, no. 3 (89), pp. 62–73.10.12737/1609-3178-2020-62-73 ↗
16. Ermolov, I.N., Metody ul’trazvukovoi defektoskopii. Ch. 1 (Ultrasonic Flaw Detection Methods. Part 1), Moscow Mining Institute, 1966.
17. Tarabrin, V.F., Chistyakova, O.E., Kislyakovskii, O.N., and Kononov, D.A., Automatic adjustment of the sensitivity of flaw detector channels using an adaptive threshold, V Mire NK, 2016, vol. 19, no. 3, pp. 77–80.
18. Ermakov, V.M. and Egorov, M.A., Dynamic modeling of the interaction of a turnout switch with a rolling stock, Zheleznodorozhn. Transp., 2016, no. 8, pp. 64–66.