Design and real-time sensitivity evaluation of directional eddy current probes on extracted rails
Mussatayev M. Kempka R. Tomlinson K. Lewis R. Smagulova D. Rysbayeva G. Tuyenbayev M. Adenipekun O.A.
1 February 2026Elsevier B.V.
Measurement: Journal of the International Measurement Confederation
2026#259
The occurrence of surface and sub-surface local damage, such as squats and studs, primarily attributed to rail-wheel contact within rail tracks, underscores the necessity for developing non-destructive testing methods. Such methods should ideally be high-speed, non-contact, and readily adaptable. Initial studies were undertaken to ascertain the optimal configurations of directional transmit and differential receiver eddy-current testing (ECT) sensors for detecting artificially induced rail defects. Discrepancies were observed in the response of the developed ECT sensors when compared to real rail damage. Consequently, this research evaluates the real-time efficacy of the original figure-8 transmit configuration with non-unity aspect ratio differential receivers against a novel dual figure-8 transmit design paired with unity aspect ratio receivers. The comparison focuses on their respective capabilities in detecting actual defects induced within rail steel samples, aiming to provide crucial insights for future in-line measurements using a trolley on a live rail network. ECT achieved a signal-to-noise ratio (SNR) exceeding 47 for rail studs, while μ-CT scans validated these results by confirming an approximate defect depth of 7.1 mm and width of 33.54 mm. Quantitative characterization was achieved through an evaluation of the SNR, indicating the desirability of lower frequencies for facilitating electronic data acquisition and processing. Additionally, lift-off sensitivity analysis demonstrated that the optimized probe design, operating at the optimum frequency, could detect targeted defects with up to a 10 mm lift-off distance, achieving an SNR of 5.
Eddy current testing , Lift-off , Non-destructive testing , Probe optimization , Real-time inspection , Signal-to-noise ratio
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School of Electrical, Electronic and Mechanical Engineering, University of Bristol, Bristol, BS8 1TR, United Kingdom
”Kazakhstan Institute of Non-Destructive Evaluation” LLP, flat 367, 43 Saryarka avenue, Astana, Z10H9C3, Kazakhstan
Mukhametzhan Tynyshbaev ALT University, 97, Shevchenko str., Almaty, A05K3F6, Kazakhstan
School of Mechanical, Aerospace and Civil Engineering, University of Sheffield, Mappin Street, Sheffield, S1 3JD, United Kingdom
Department of Computer science FENS, SDU University, 1/1 Abylai Khan, Kaskelen, 040900, Kazakhstan
School of Electrical
”Kazakhstan Institute of Non-Destructive Evaluation” LLP
Mukhametzhan Tynyshbaev ALT University
School of Mechanical
Department of Computer science FENS
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