Urban rail track condition monitoring based on in-service vehicle acceleration measurements |
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| Affiliation: | 1. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China;2. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China;1. RailCorp – Track Engineering, Sydney, NSW 2000, Australia;2. Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139-4307, USA;1. Faculty of Engineering and the Environment, University of Southampton, U.K.;2. Network Rail (High Speed) Ltd. London, U.K.;1. Department of Civil and Environmental Engineering, University of South Carolina, 300 Main Street, Columbia, SC 29208, USA;2. Rail Transportation and Engineering Center – RailTEC, Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, 205 N. Mathews Ave., Urbana, IL 61801, USA;3. Saiful Bouquet Structural Engineers Inc., 155 N Lake Ave. #600, Pasadena, CA 91101, USA;1. Department of Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA;2. Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA;3. Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA;1. University of Southampton, United Kingdom;2. Network Rail High Speed Ltd, United Kingdom |
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| Abstract: | Condition monitoring of railway tracks is essential in ensuring the safety of railway systems. Traditional track recording vehicles (TRV) can only carry out the track inspection in the midnight after all the service vehicles are off duty. One track line can be inspected only once or less in a month. The severe track condition degradation cannot be detected timely and there is potential safety hazard for the railway system. Therefore, the track condition monitoring based on in-service vehicle has been paid more attention in the recent years. In this paper, the track condition monitoring based on the bogie and car body acceleration measurements is presented. The track alignment information which can be derived from the bogie and car body sensor is investigated by using a mathematical model and the frequency response analysis. The track irregularities can be estimated by using the bogie and the car body acceleration sensors. The acceleration signals are preprocessing with a DC filter and a low pass filter. After that, the track alignments are obtained by double integrating the signals. Field tests are carried out in Shang Hai metro Line 1 for demonstrating the effectiveness of the proposed track inspection system. |
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| Keywords: | Rail track Condition monitoring Track irregularities Field test |
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