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

Yuanchen Zeng, Alfredo Núñez, Rolf Dollevoet, Arjen Zoeteman, Zili Li*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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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.

Original languageEnglish
Pages (from-to)1585-1594
Number of pages10
JournalIEEE Transactions on Industrial Informatics
Volume21
Issue number2
DOIs
Publication statusUnpublished - 2024

Keywords

  • Anomaly detection
  • axle box accelerometer (ABA)
  • laser doppler vibrometer (LDV)
  • railway track
  • sensor fusion
  • structural health monitoring

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