A Train-Borne Laser Vibrometer Solution Based on Multisignal Fusion for Self-Contained Railway Track Monitoring

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.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Industrial Informatics
Published
2024-11-25
DOI
https://doi.org/10.1109/tii.2024.3485764
Citations
4
Primary Topic
Railway Engineering and Dynamics
Type
article
Field-Weighted Citation Impact
0.85
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Train-Borne Laser Vibrometer Solution Based on Multisignal Fusion for Self-Contained Railway Track Monitoring

Yuanchen Zeng, Rolf Dollevoet, Arjen Zoeteman, Alfredo Núñez et al.
4 citations
IEEE Transactions on Industrial Informatics
Railway Engineering and Dynamics
0.85
article

A Train-Borne Laser Vibrometer Solution Based on Multisignal Fusion for Self-Contained Railway Track Monitoring

Yuanchen Zeng, Rolf Dollevoet, Arjen Zoeteman, Alfredo Núñez, Zili Li
article en
4 citations

Abstract

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.

IEEE Transactions on Industrial InformaticsVol. 21(2)
Delft University of Technology (NL)
Openalex Percentile: Top 30%
Railway Engineering and Dynamics
0.85
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Train-Borne Laser Vibrometer Solution Based on Multisignal Fusion for Self-Contained Railway Track Monitoring — Yuanchen Zeng, Rolf Dollevoet, et al. · IEEE Transactions on Industrial Informatics (2024) | TGRS Research Map | TGRS