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CORDIS - Risultati della ricerca dell’UE
CORDIS

System for vehicle-infrastructure Interaction Assets health status monitoring

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

End user requirements of SIA and validation plan (si apre in una nuova finestra)

This deliverable will be a report containing the end user requirements and the preliminary description of the validation plan.

Modified xsd and matching RailTopoModel class diagram (si apre in una nuova finestra)

RailTopoModel, a multipurpose model for infrastructure data, has been first published by UIC under IRS30100:2016. Additional fields or interfaces (in the sense of UML class diagrams), allowing the description and storage of technical, monitoring, and economic lifecycle data, are foreseen.

Dissemination and Communication plan (si apre in una nuova finestra)

Report planning dissemination and communication activities

Project Management and Quality Assurance Plan (si apre in una nuova finestra)

This plan will establish the working procedures and collaborative SW tools that ensure the quality and timing of the outcomes of SIA, it will specifically define the Intellectual Property rights for the exploitation of the outcomes of SIA and establish the procedures for monitoring and control during the SIA project execution and closing phases. This deliverable also includes templates for IPR and Access Rights Management.

Development and delivery of the exploitation plan (si apre in una nuova finestra)

Report on the plan for exploitation

SIA Test setup description (si apre in una nuova finestra)

Report describing the different test setups for the 4 scenarios

Validation of SIA (si apre in una nuova finestra)

Report describing the results of the 9 months validation period for the 4 scenarios

Guidelines for SIA implementation (si apre in una nuova finestra)

Guidelines to be freely distributed, inter alia, to UIC members that are Infrastructure Managers and Train operating companies. The Guidelines will consist of two parts: - The first part will be addressed to decision-makers, and propose the most effective ways to implement iWheelMon, iRailMon, iPantMon and iCatMon, given current maintenance policies and asset types. The aim of the first part is to help estimate implementation costs, benefits and phasing, in order to obtain a desirable return on investment. - The second part will be addressed to technicians. It will summarize pre-requisites, applicable standards, inventories of necessary SIA components, and required interfaces and background data (other than directly provided by the SIA system) that are necessary to monitor wheels, rails, contact wires and pantographs. While provided as a deliverable under the Contract, the guidelines will also be freely distributed, inter alia, over the UIC website.

SIA architecture (si apre in una nuova finestra)

This deliverable will be a report containing the identification of constituents of SIA, their technical requirements and the interfaces. The verification of the architecture will be also detailed.

Data management plan (DPM) (si apre in una nuova finestra)

Analysis of the main elements of the data management policy that will be used by the project partners and target audience with regard to all the datasets that will be generated by the project. The DMP will evolve during the lifespan of the project. It will be developed according to the Horizon 2020 guidelines , and will reflect the agreed requirements for protection of the different data being shared.

Pubblicazioni

Positioning Approach for Train-Infrastructure Interaction Assets Health Status Monitoring (si apre in una nuova finestra)

Autori: Ramin Moradi, Michael Hutchinson, Yuheng Zheng, Michael Roth
Pubblicato in: 2020 European Navigation Conference (ENC), 2020, Pagina/e 1-9, ISBN 978-3-944976-27-3
Editore: IEEE
DOI: 10.23919/enc48637.2020.9317508

An Unsupervised Machine Learning Approach to Extract Wheel and Track Health Status Indicators from Train-Borne Accelerometer Data (si apre in una nuova finestra)

Autori: Benjamin Baasch, Michael Roth, sebastian schulz, Jörn C. Groos
Pubblicato in: Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference, 2020, Pagina/e 1230-1230, ISBN 978-981-14-8593-0
Editore: Research Publishing Services
DOI: 10.3850/978-981-14-8593-0_3898-cd

Hybridized GNSS and IMU Positioning for Train Infrastructure Asset Health Status Monitoring withinthe SIA-Project

Autori: Ramin Moradi and Michael Hutchinson, Nottingham Scientific Ltd (NSL), Nottingham, UK
Pubblicato in: CEUR Workshop Proceedings, Numero Volume 2626, 2020, Pagina/e Paper 7
Editore: CEUR Workshop Proceedings

Positioning for Train-infrastructure Asset Health Status Monitoring within the SIA-project (si apre in una nuova finestra)

Autori: Ramin Moradi, Yuheng Zheng, Michael Hutchinson, Michael Roth, Kanwal Jahan, Jon Goya, Unai Alvarado
Pubblicato in: Proceedings of the 33rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2020), 2020, Pagina/e 2948-2959, ISBN 0-936406-26-7
Editore: Institute of Navigation
DOI: 10.33012/2020.17636

Map Aided Software Enhancement for Autonomous GNSS Complementary Positioning System for Railway (si apre in una nuova finestra)

Autori: G. de Miguel, J. Goya, N. Fernandez, S. Arrizabalaga, J. Mendizabal, I. Adin., CEIT
Pubblicato in: IEEE Transactions on Vehicular Technology, Numero Vol. 68, N°12, 2019, Pagina/e pp 11611 to 11620, ISSN 0018-9545
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tvt.2019.2940621

Prediction of Rolling Contact Fatigue Behavior in Rails Using Crack Initiation and Growth Models along with Multibody Simulations (si apre in una nuova finestra)

Autori: Borja Rodríguez-Arana, Albi San Emeterio, Unai Alvarado, José M. Martínez-Esnaola, Javier Nieto
Pubblicato in: Applied Sciences, Numero 11/3, 2021, Pagina/e 1026, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app11031026

Train Wheel Condition Monitoring via Cepstral Analysis of Axle Box Accelerations (si apre in una nuova finestra)

Autori: Benjamin Baasch, Judith Heusel, Michael Roth, Thorsten Neumann
Pubblicato in: Applied Sciences, Numero 11/4, 2021, Pagina/e 1432, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app11041432

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