Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13087/1408
Title: A Novel Methodology for Dynamic Weigh in Motion System for Railway Vehicles With Traction
Authors: Onat, Altan
Kayaalp, Bekir Tuna
Keywords: Weigh-in-motion systems
railway vehicles
normal load estimation
multiple models
condition monitoring
Issue Date: 2019
Publisher: IEEE-Inst Electrical Electronics Engineers Inc
Abstract: Loading conditions of railway vehicles both affect the vehicle and substructure directly. There are approaches to determine the load of a railway vehicle, the first one is to statically weigh the vehicle, the second approach is to place sensors along the track and dynamically weigh the vehicle at certain sections and the third one is to design special sensors that can be implemented on the vehicle. In this study, a model based indirect estimation methodology for normal load is proposed. This approach is based on interpreting angular velocities of wheels and translational velocity measurements of a vehicle to determine the normal load. A swarm intelligence based evolution of multiple models is proposed for estimation. In order to validate the approach, measurements taken from a tram wheel test stand with an independently rotating wheel are considered. The proposed approach is promising to be used as a dynamic weighing system and cost-efficient since only vehicle-based sensors are used. Furthermore, a continuous monitoring of the normal load is made possible with high accuracy since this methodology is neither limited to track-based sensors nor it requires special sensors and instrumented wheelsets.
URI: https://doi.org/10.1109/TVT.2019.2940011
https://hdl.handle.net/20.500.13087/1408
ISSN: 0018-9545
1939-9359
Appears in Collections:Endüstri Mühendisliği Bölümü Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu

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