Journal
MEASUREMENT
Volume 199, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.measurement.2022.111549
Keywords
Collective monitoring; Ride comfort analysis; Rail track monitoring; High-speed rail; Inertial Measurement Unit; Multi -sensor data fusion
Funding
- e Coordenacao de Aperfeioamento de Pessoal de Nivel Superior (CAPES) , Brazil [001]
Ask authors/readers for more resources
In this paper, the authors present the first experimental results on the use of multiple very low-cost sensors aboard trains for vibration monitoring. They propose a collective approach to provide more accurate and robust results. The potential of the collective approach is proven through noise reduction and discrepant sensor identification.
The periodic rail track inspection is mandatory to ensure ride comfort and operational safety. However, con-ventional monitoring technologies have high costs, stimulating research on low-cost alternatives. In this regard, this paper presents the first experimental results on the use of multiple very low-cost sensors aboard trains for vibration monitoring, proposing a collective approach to provide more accurate and robust results. Nine devices comprising commercial-grade inertial sensors were tested in different distributions aboard a high-speed track recording train. Frequency weighted accelerations were calculated in accordance with ISO 2631 standard as comfort and indirect track quality index. As expected, vertical and lateral results were correlated with, respec-tively, track longitudinal level (range D1, maximum correlation coefficient of 0.86) and alignment (range D2, maximum correlation coefficient of 0.60), with numerically similar results when considering the fused signal. The collective approach's potential was proven as a result of the noise reduction and the discrepant sensor identification.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available