A Novel Methodology for Dynamic Weigh in Motion System for Railway Vehicles With Traction

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F19%3A39915365" target="_blank" >RIV/00216275:25510/19:39915365 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/8827300" target="_blank" >https://ieeexplore.ieee.org/document/8827300</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TVT.2019.2940011" target="_blank" >10.1109/TVT.2019.2940011</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A Novel Methodology for Dynamic Weigh in Motion System for Railway Vehicles With Traction

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

A Novel Methodology for Dynamic Weigh in Motion System for Railway Vehicles With Traction

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

20104 - Transport engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE Transactions on vehicular technology

ISSN

0018-9545

e-ISSN

—

Svazek periodika

68

Číslo periodika v rámci svazku

11

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

14

Strana od-do

10545-10558

Kód UT WoS článku

000501358800018

EID výsledku v databázi Scopus

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