Medeiros, Leandro and Silva, Pedro Henrique Oliveira and Valente, Lucas de Castro and Nepomuceno, Erivelton (2018) A Prototype for Monitoring Railway Vehicle Dynamics Using Inertial Measurement Units. In: 2018 13th IEEE International Conference on Industry Applications (INDUSCON). IEEE, pp. 149-154. ISBN 978-1-5386-7995-1

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Abstract

The dynamics of railway vehicles have changed from an essentially mechanical application into one that requires knowledge of sensors, electronics and computational processing. Industry 4.0 is a term that describes industrial activity by intelligent systems and solutions established on the concept of the Internet of Things (IoT). The present work illustrates the application of a conceptual cycle of an Internet of Things building a prototype, consisting on acquisition, processing and communication of data in the industrial context. Specifically, the monitoring of the dynamics of wagons using inertial sensors and algorithms that establish the fusion of sensors. The use of refined methods shows more reliable results in the use of low-cost sensors. Furthermore, the implementation of wireless communication enables the use of data in the creation of more complex analyses that can be applied in computational and instrumentation tools.

Item Type:	Book Section
Keywords:	railway vehicle dynamics; internet of things; sensor fusion; Kalman filter;
Academic Unit:	Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	16860
Identification Number:	https://doi.org/10.1109/INDUSCON.2018.8627330
Depositing User:	Erivelton Nepomuceno
Date Deposited:	16 Jan 2023 17:04
Publisher:	IEEE
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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