Towards Advancing Real-Time Railroad Inspection Using a Directional Eddy Current Probe
Mussatayev M. Kempka R. Alanesi M.
October 2024Multidisciplinary Digital Publishing Institute (MDPI)
Sensors
2024#24Issue 20
In the field of railroad safety, the effective detection of surface cracks is critical, necessitating reliable, high-speed, non-destructive testing (NDT) methods. This study introduces a hybrid Eddy Current Testing (ECT) probe, specifically engineered for railroad inspection, to address the common issue of “lift-off noise” due to varying distances between the probe and the test material. Unlike traditional ECT methods, this probe integrates transmit and differential receiver (Tx-dRx) coils, aiming to enhance detection sensitivity and minimise the lift-off impact. The study optimises ECT probes employing different transmitter coils, emphasising three main objectives: (a) quantitatively evaluating each probe using signal-to-noise ratio (SNR) and outlining a real-time data-processing algorithm based on SNR methodology; (b) exploring the frequency range proximal to the electrical resonance of the receiver coil; and (c) examining sensitivity variations across varying lift-off distances. The experimental outcomes indicate that the newly designed probe with a figure-8 shaped transmitter coil significantly improves sensitivity in detecting surface cracks on railroads. It achieves an impressive SNR exceeding 100 for defects with minimal dimensions of 1 mm in width and depth. The simulation results closely align with experimental findings, validating the investigation of the optimal operational frequency and lift-off distance for selected probe performance, which are determined to be 0.3 MHz and 1 mm, respectively. The realisation of this project would lead to notable advancements in enhancing railroad safety by improving the efficiency of crack detection.
Eddy Current Testing , lift-off , non-destructive testing , probe optimisation , 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, 59, Tole bi Street (KBTU), Almaty, 050005/A05H1T2, Kazakhstan
Department of Mechanical Engineering, The University of Sheffield, Mappin Street, Sheffield, S1 3JD, United Kingdom
Department of Intelligent Manufacturing Engineering, Guilin University of Electronic Technology, Guilin, 541004, China
School of Electrical
Kazakhstan Institute of Non-Destructive Evaluation LLP
Department of Mechanical Engineering
Department of Intelligent Manufacturing Engineering
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