Design and real-time sensitivity evaluation of directional eddy current probes on extracted rails

Meirbek Mussatayev*, Ruby Kempka, Kate Tomlinson, Roger Lewis, Damira Smagulova, Gulsim Rysbayeva, Manat Tuyenbayev, Oluwatamilore A. Adenipekun

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

Abstract

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.
Original languageEnglish
Article number119611
Number of pages14
JournalMeasurement
Volume259
Issue numberA
Early online date7 Nov 2025
DOIs
Publication statusE-pub ahead of print - 7 Nov 2025

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