TY - JOUR
T1 - A Train-Borne Laser Vibrometer Solution Based on Multisignal Fusion for Self-Contained Railway Track Monitoring
AU - Zeng, Yuanchen
AU - Núñez, Alfredo
AU - Dollevoet, Rolf
AU - Zoeteman, Arjen
AU - Li, Zili
PY - 2024
Y1 - 2024
N2 - This article develops and tests a self-contained railway track monitoring system that fits in existing vehicles without the need for speed and load control. Combining a train-borne laser Doppler vibrometer and axle box accelerometers enables synchronized measurements of train-track response under operational conditions. Utilizing a GPS antenna and video camera, we propose the multisignal processing method to obtain train-track vibrations with train position and speed. Then, we fuse the multiple signals to extract an impact index and a resonance index and further propose an interpretable anomaly detection strategy. We test the system on an operational line at 20-60 km/h under different working conditions and verify the detection results using information from conventional technologies. The impact index peaks near joints and welds, and the resonance index yields a good correlation with the measured track geometry. The developed solution achieves the detection, localization, and quantification of surface and support anomalies in railway tracks.
AB - This article develops and tests a self-contained railway track monitoring system that fits in existing vehicles without the need for speed and load control. Combining a train-borne laser Doppler vibrometer and axle box accelerometers enables synchronized measurements of train-track response under operational conditions. Utilizing a GPS antenna and video camera, we propose the multisignal processing method to obtain train-track vibrations with train position and speed. Then, we fuse the multiple signals to extract an impact index and a resonance index and further propose an interpretable anomaly detection strategy. We test the system on an operational line at 20-60 km/h under different working conditions and verify the detection results using information from conventional technologies. The impact index peaks near joints and welds, and the resonance index yields a good correlation with the measured track geometry. The developed solution achieves the detection, localization, and quantification of surface and support anomalies in railway tracks.
KW - Anomaly detection
KW - axle box accelerometer (ABA)
KW - laser doppler vibrometer (LDV)
KW - railway track
KW - sensor fusion
KW - structural health monitoring
UR - http://www.scopus.com/inward/record.url?scp=85210775069&partnerID=8YFLogxK
U2 - 10.1109/TII.2024.3485764
DO - 10.1109/TII.2024.3485764
M3 - Article
AN - SCOPUS:85210775069
SN - 1551-3203
VL - 21
SP - 1585
EP - 1594
JO - IEEE Transactions on Industrial Informatics
JF - IEEE Transactions on Industrial Informatics
IS - 2
ER -