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Lookup NU author(s): Dr Cristian UlianovORCiD
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).
The article presents a novel wagon concept that integrates innovative solutions relating to the identified major challenges for the freight vehicles of the future, namely: i. cargo condition monitoring; ii. Lightweight wagon design; and iii. Predictive maintenance. These three essential areas are addressed by three subsequent work streams of the INNOWAG project, which is funded by the Shift2Rail Joint Undertaking under the EU’s H2020 programme. INNOWAG aims to respond to major rail freight competitiveness challenges regarding the increase of transport capacity, logistic capacity and improved RAMS and lower LCC, by developing an autonomous self-powered sensor system for cargo tracing and monitoring, along with a predictive maintenance approach to enable efficient use of both condition monitoring and historical data for further implementation of predictive models and tools in freight vehicle maintenance, and to integrate the aforementioned innovations on a novel concept of modular and lightweight wagon, developed through an optimised structural design using lightweight materials.
Author(s): Ulianov C, Mazzola L, Shi D
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 7th Transport Research Arena TRA 2018 (TRA 2018)
Year of Conference: 2018
Print publication date: 16/04/2018
Online publication date: 16/04/2018
Acceptance date: 16/04/2018
Date deposited: 12/09/2019
Publisher: Zenodo
URL: https://doi.org/10.5281/zenodo.1491330
DOI: 10.5281/zenodo.1491330
