LINEAR INFRASTRUCTURE EFFICIENCY IMPROVEMENT BY AUTOMATED LEARNING AND OPTIMISED PREDICTIVE MAINTENANCE TECHNIQUES

Project Information

INFRALERT

Grant agreement ID: 636496

DOI 10.3030/636496

Project closed

EC signature date 14 April 2015

Start date 1 May 2015

End date 30 April 2018

Funded under

• SOCIETAL CHALLENGES - Smart, Green And Integrated Transport

Total cost € 3 183 243,75

EU contribution € 3 183 243,75

Coordinated by

FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG EV
Germany

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Deliverables

Documents, reports (12)

Methodologies and procedures for inferring three-dimensional alert-severity-intervention pattern space (cause-effect relationship’s knowledge). Supervised and unsupervised approaches.
eIMS impact analysis for road and rail networks cases
Hybrid methodology in different asset levels: Contribution to more accurate asset forecasting and nowcasting
Report on RAMS data collection and failure rate analysis at component level
Report on a tool for strategic decision assessment
Report on RAMS&LCC integrated models
Mid-term Dissemination & Communication Activities
Smart decision support framework
Operation and integration guidelines for eIMS
Dissemination & Communication Activities
Report on models and algorithms for decision support
Application of physical, data-driven and symbolic models from component to system level

Websites, patent fillings, videos etc. (1)

Website operative

Other (1)

Expert-based evolution of the data structure

Publications

Peer reviewed articles (3)

Improving linear transport infrastructure efficiency by automated learning and optimised predictive maintenance techniques (INFRALERT)

Author(s): Noemi Jiménez-Redondo, Alvaro Calle-Cordón, Ute Kandler, Axel Simroth, Francisco J Morales, Antonio Reyes, Johan Odelius, Aditya Thaduri, Joao Morgado, Emmanuele Duarte
Published in: IOP Conference Series: Materials Science and Engineering, Issue 236, 2017, Page(s) 012105, ISSN 1757-8981
Publisher: IOP Conference Series: Materials Science and Engineering
DOI: 10.1088/1757-899x/236/1/012105

Historical maintenance relevant information road-map for a self-learning maintenance prediction procedural approach

Author(s): Francisco J. Morales, Antonio Reyes, Noelia Cáceres, Luis M. Romero, Francisco G. Benitez, Joao Morgado, Emanuel Duarte, Teresa Martins
Published in: IOP Conference Series: Materials Science and Engineering, Issue 236, 2017, Page(s) 012107, ISSN 1757-8981
Publisher: IOP Conference Series: Materials Science and Engineering
DOI: 10.1088/1757-899x/236/1/012107

Integration of RAMS in LCC analysis for linear transport infrastructures. A case study for railways.

Author(s): Álvaro Calle-Cordón, Noemi Jiménez-Redondo, F J Morales-Gámiz, F A García-Villena, Amir H S Garmabaki, Johan Odelius
Published in: IOP Conference Series: Materials Science and Engineering, Issue 236, 2017, Page(s) 012106, ISSN 1757-8981
Publisher: IOP Conference Series: Materials Science and Engineering
DOI: 10.1088/1757-899x/236/1/012106

Conference proceedings (7)

COMBINED RAMS AND LCC ANALYSIS IN RAILWAY AND ROAD TRANSPORT INFRASTRUCTURES

Author(s): Álvaro Calle-Cordón, Noemi Jiménez-Redondo, F.J. Morales-Gámiz, F.A. García-Villena, Juan Jacobo Peralta, A.H.S Garmabaki, Stephen Famurewa, J. Odelius, Emanuel Duarte, João Morgado
Published in: Proceedings of Transport Research Arena TRA, Vienna, Austria, 2018, 2018
Publisher: TRA2018

THE DEVELOPMENT OF AN INFORMATION SYSTEM TO SUPPORT AND AUTOMATE LINEAR INFRASTRUCTURE MANAGEMENT

Author(s): João Morgado; Emanuel Duarte
Published in: Proceedings of World Conference on Pavement and Asset Management, WCPAM2017, Issue WCPAM2017, June 2017, 2017
Publisher: WCPAM2017
DOI: 10.5281/zenodo.1284904

AUTOMATIC PREDICTION OF MAINTENANCE INTERVENTION TYPES IN ROADS USING MACHINE LEARNING AND HISTORICAL RECORDS

Author(s): Francisco J. Morales, Antonio Reyes, Noelia Caceres, Luis M. Romero, Francisco G. Benitez
Published in: Transportation Research Record (Journal of the Transportation Research Board), 2018
Publisher: Sage Publications
DOI: 10.5281/zenodo.1297504

INFRALERT: IMPROVING LINEAR TRANSPORT INFRASTRUCTURE EFFICIENCY BY AUTOMATED LEARNING AND OPTIMISED PREDICTIVE MAINTENANCE TECHNIQUES

Author(s): Jiménez-Redondo, Noemi; Calle Cordón, Álvaro; Kandler, Ute; Simroth, Axel; Reyes, Antonio; Morales, Francisco J.; Odelius, Johan; Famurewa, Stephen; Iorio, Daniele; Fruttero, Marco; Juszt, András; Hanák, Tamás; Morgado, João; Duarte, Emanuel
Published in: Proceedings of Transport Research Arena TRA, Vienna, Austria, 2018, 2018
Publisher: TRA2018

DECISION SUPPORT FOR TACTICAL PLANNING OF MAINTENANCE ACTIVITIES – A USE CASE FOR THE INFRALERT PROJECT

Author(s): Ute Kandler, Axel Simroth
Published in: Proceedings of International Conference on Operations Research (OR2017), 2017, ISSN 0721-5924
Publisher: Operations Research Society - Springer

DECISION SUPPORT FOR TACTICAL PLANNING – A USE CASE FOR THE INFRALERT PROJECT

Author(s): Ute Kandler, Axel Simroth, João Morgado, Emanuel Duarte
Published in: Proceedings of Transport Research Arena TRA, Vienna, Austria, 2018, 2018
Publisher: TRA2018

AUTOMATIC PREDICTION OF MAINTENANCE INTERVENTION TYPES IN TRANSPORT LINEAR INFRASTRUCTURES USING MACHINE LEARNING

Author(s): Antonio Reyes, Francisco J. Morales, Noelia Caceres, Luis M. Romero, Francisco G. Benitez, Joao Morgado, Emanuel Duarte, Teresa Martins
Published in: Proceedings of Transport Research Arena TRA, Vienna, Austria, 2018, 2018
Publisher: TRA2018