Intelligent Innovative Smart Maintenance of Assets by integRated Technologies

Livrables

D7.3 TRL4 Open standard interface prototype implementation.

System validation report and HMI/human factors report

D2.2 - System validation report and HMI/human factors report (M36) The deliverable will: • summarize and validate all the results of the TRL4 proof of concepts of the Project. It will also provide lessons learned defining the way forward for the follow-up activities. Results will be validated against requirements (D2.1 that will be updated if necessary). • propose HMI and human factors recommendations and guidelines for the development of an intelligent asset maintenance system for railway.

Predictive Models of Decaying Infrastructures approaches and use cases

Detailed specifications, requirements and descriptions of heterogeneous data and knowledge sources for easy and safe implementation of predictive models in the industry. Detailed description of safety demonstration and industrialisation requirements and constraints (including quantitative objectives). Definition of the set of case-studies to be implemented during the project (including data and knowledge sources).

Results of concept demonstration

D3.5 Final report gathering feedback and knowledge gained within the implementation of the concept demonstrators. Requirements for normative and regulatory framework will also be proposed.

Report on track/switch parameters and problem zones

D4.1 Report that describes the parameters and sections that have to be monitored, the required accuracy and impact on monitoring and maintenance strategies.

Prototype Validation

D7.4 Report on testing and achieved results of the prototype including assessment with respect to targets of NR and TRV.

Definition of business cases and prototype functionalities

D9.1 This deliverable as outcome of Task 9.4 will define real-world business cases from participating stakeholders for future applications of the IAMS decision support process. Functionalities of prototypes to be developed will be specified.

Report on communication, dissemination and exploitation activities and socio-economic impact of the action

D11.2 - Report on communication, dissemination and exploitation activities and socio-economic impact of the action (M36) This report will: • detail the activities undertaken during the life of the project, its results and established contacts to key stakeholders. • contain an overview of the results and their exploitation and dissemination, the conclusions on the action and the socio-economic impact of the action.

Requirements and KPI

D10.1 Requirements for LEAN inspection.

Requirements analysis and Definition of standard guideline

D7.2 The guideline contains open data exchange formats for maintenance in rail business to be a initial draft of a standard.

Dissemination and data management plans, including project web site

D11.1 - Dissemination and data management plans, including project web site (M6, updated upon needs) This deliverable will cover the following activities: • Setting up and going live of a public website for the project. It will be regularly updated with news and public deliverables and it contains restricted areas for shared content with key stakeholders (e.g. ERA, standardisation organisations, representative bodies and collaborating projects external to Shift2Rail). • Details the objectives and strategy for the dissemination of the project, as well as detailing the methods to be used for dissemination and communication. • Data Management Plan preparation to describe how the Consortium will manage the data produced and consumed by the project. The Data Management Plan will be produced in strict allignment also with the WP7 parterns not belonging to WP11 itself.

Open data: a review of the state-of-the-art

D7.1 Report contains the state-of-the-art open data exchange formats of other domains including a comparison and recommendations.

Publications

La digitalizzazione dell'infrastruttura ferroviaria: verso una piattaforma intelligente per la manutenzione predittiva

Auteurs: Alice Consilvio, Carlo Crovetto, Nadia Mazzino, Federico Papa
Publié dans: SICUREZZA ED ESERCIZIO FERROVIARIO 5° CONVEGNO NAZIONALE – ROMA 21 NOVEMBRE 2017, 2017, Page(s) 215-226, ISBN 978-88-255-0806-2
Éditeur: Aracne Editrice

Deeper insight in railway switch condition nowcasting

Auteurs: Beate Dutschk- Jörn C. Groos- Edin Hadzic- Thomas Böhm
Publié dans: WCCM 2017 - 1st World Congress on Condition Monitoring, 2017, ISBN 978-0903-13264-8
Éditeur: British Institute of Non-Destructive Testing

Data-driven condition now- and forecasting of railway switches for improvement in the quality of railway transportation

Auteurs: Narezo Guzman, Daniela; Hadzic, Edin; Schuil, Robert; Baars, Eric; Groos, Jörn Christoffer
Publié dans: 4th European Conference of the Prognostics and Health Management (PHM) Society, 2018
Éditeur: Prognostics and Health Management (PHM) Society

Turning data driven condition now- and forecasting for railway switches into maintenance actions

Auteurs: Narezo Guzman, Daniela; Hadzic, Edin; Schuil, Robert; Baars, Eric; Groos, Jörn C.
Publié dans: Transport Research Arena 2018 Conference Proceedings, 2018
Éditeur: 7th Transport Research Arena TRA 2018
DOI: 10.5281/zenodo.1491428

Map-Supported Positioning Enables In-Service Condition Monitoring of Railway Tracks

Auteurs: Michael Roth, Benjamin Baasch, Patrik Havrila, Jorn Groos
Publié dans: 2018 21st International Conference on Information Fusion (FUSION), 2018, Page(s) 2346-2353, ISBN 978-0-9964527-6-2
Éditeur: IEEE
DOI: 10.23919/icif.2018.8455377

Towards an intelligent and automated platform for railway Asset Management

Auteurs: Alice Consilvio; Carlo Crovetto; Benoit Guyot; Andy Kirwan; Nadia Mazzino; Federico Papa
Publié dans: Transport Research Arena Conference Proceedings, Numéro 16-19 April 2018, 2018
Éditeur: 7th Transport Research Arena TRA 2018
DOI: 10.5281/zenodo.1441166

Prescriptive Maintenance of Railway Infrastructure: From Data Analytics to Decision Support

Auteurs: Alice Consilvio, Paolo Sanetti, Davide Anguita, Carlo Crovetto, Carlo Dambra, Luca Oneto, Federico Papa, Nicola Sacco
Publié dans: 2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), Numéro 5-7 June 2019, 2019, Page(s) 1-10, ISBN 978-1-5386-9484-8
Éditeur: IEEE
DOI: 10.1109/mtits.2019.8883331

On implementing and testing an Intelligent Asset Management System for rail signalling

Auteurs: Alice Consilvio, Carlo Crovetto, Carlo Dambra, Federico Papa, Paolo Sanetti , Noemi Jiménez Redondo, Ute Kandler
Publié dans: Proceedings of 8th Transport Research Arena TRA 2020 - Book of Abstracts, Numéro April 27-30, 2020, 2020
Éditeur: Traficom

A generic framework for decision support systems in maintenance and interventions planning

Auteurs: Solís-Hernández, J., Jiménez-Redondo, N., Mingolarra-Garaizar, I., Holfeld, D., Kandler, U., Consilvio, A.
Publié dans: Proceedings of Transport Research Arena TRA 2020 - Book of Abstracts, Numéro April 27-30, 2020, 2020
Éditeur: Traficom

Earthworks degradations, climate change and complex systems

Auteurs: Mingolarra-Garaizar I., Solis-Hernandez J., Jiménez-Redondo N, Modhara S., Lowe C.
Publié dans: 8th Transport Research Arena TRA 2020, Numéro 27-30 April 2020, 2020
Éditeur: Traficom

Anomaly detection model based on switch monitoring data for condition-based maintenance

Auteurs: Daniela Narezo Guzman, Edin Hadzic, Jörn C. Groos
Publié dans: 31 World Congress on Railway Research (WCRR 2019), Numéro 28. Oct - 01. Nov. 2019, 2019
Éditeur: WCRR

Anomaly detection and forecasting methods applied to point machine monitoring data for prevention of switch failures

Auteurs: Daniela Narezo Guzman, Edin Hadzic, Douwe Buursma, Gerrit Schrijver, Benjamin Baasch, Judith Heusel, Thorsten Neumann, Jörn C. Groos
Publié dans: 32nd International Congress and Exhibition on Condition Monitoring and Diagnostic Engineering Management (COMADEM 2019), Numéro 3-5 September 2019, 2019
Éditeur: COMADEM

Detecting anomalous behavior of railway switches under real operation conditions: workflow and implementation

Auteurs: Daniela Narezo Guzman, Edin Hadzic, Henk Samson, Serge van den Broek, Jörn C. Groos
Publié dans: Transport Research Arena (TRA) 2020, Numéro 27-30 April 2020, 2020
Éditeur: Traficom

Towards the development of a hybrid methodology of head checks in railway infrastructure

Auteurs: Meghoe A., Jamshidi A., Loendersloot R. & Tinga T.
Publié dans: Railway Engineering 2019: 15th International Conference & Exhibition, Numéro 2 July 2019, 2019
Éditeur: Railway Engineering

Implementation of RCF meta-model for Weesp-Almere and validation with Eddy Current data

Auteurs: A. Meghoe, A. Jamshidi, R. Loendersloot and T. Tinga
Publié dans: Railway Engineering Conference 2019, Numéro 3-4 July 2019, 2019
Éditeur: Railway Engineering

Feature-based approaches for geomonitoring using terrestrial laser scanning point clouds

Auteurs: Gojcic, Z., Zhou, C., & Wieser. A.
Publié dans: 1st Swiss Workshop on Machine Learning for Environmental and Geosciences (MLEG), Numéro 16 & 17 January 2019, 2019
Éditeur: ETH Zürich
DOI: 20.500.11850/318505

Robust pointwise correspondences for point cloud based deformation monitoring of natural scenes

Auteurs: Gojcic, Z., Zhou, C., & Wieser, A.
Publié dans: 4th Joint International Symposium on Deformation Monitoring (JISDM), Numéro 15 – 17 May 2019, 2019
Éditeur: JISDM

Earthwork asset management using Petri Net models

Auteurs: Solis-Hernandez J., Jiménez-Redondo N., Mingolarra-Garaizar I., Modhara S.
Publié dans: 8th Transport Research Arena TRA 2020, Numéro April 27-30, 2020, 2020
Éditeur: TRA

Rail wear and remaining life prediction using meta-models

Auteurs: Annemieke Meghoe, Richard Loendersloot, Tiedo Tinga
Publié dans: International Journal of Rail Transportation, Numéro 8/1, 2020, Page(s) 1-26, ISSN 2324-8378
Éditeur: Taylor & Francis
DOI: 10.1080/23248378.2019.1621780

Train-based differential eddy current sensor system for rail fastener detection

Auteurs: Praneeth Chandran, Matti Rantatalo, Johan Odelius, Håkan Lind, Stephen M Famurewa
Publié dans: Measurement Science and Technology, Numéro 30/12, 2019, Page(s) 125105, ISSN 0957-0233
Éditeur: Institute of Physics and the Physical Society
DOI: 10.1088/1361-6501/ab2b24

Physical model based predictive maintenance for rail infrastructure

Auteurs: Annemieke Meghoe
Publié dans: PhD Thesis - Research UT, graduation UT, Numéro 19 Dec 2019, 2019, ISBN 978-90-365-4878-6
Éditeur: University of Twente
DOI: 10.3990/1.9789036548786

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