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

Informations projet

INFRALERT

N° de convention de subvention: 636496

DOI

10.3030/636496

Projet clôturé

Date de signature de la CE 14 Avril 2015

Date de début 1 Mai 2015

Date de fin 30 Avril 2018

Financé au titre de

• SOCIETAL CHALLENGES - Smart, Green And Integrated Transport

Coût total

€ 3 183 243,75

Contribution de l’UE

€ 3 183 243,75

Coordonné par

FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG EV
Germany

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

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)

Auteurs: Noemi Jiménez-Redondo, Alvaro Calle-Cordón, Ute Kandler, Axel Simroth, Francisco J Morales, Antonio Reyes, Johan Odelius, Aditya Thaduri, Joao Morgado, Emmanuele Duarte
Publié dans: IOP Conference Series: Materials Science and Engineering, Numéro 236, 2017, Page(s) 012105, ISSN 1757-8981
Éditeur: 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

Auteurs: Francisco J. Morales, Antonio Reyes, Noelia Cáceres, Luis M. Romero, Francisco G. Benitez, Joao Morgado, Emanuel Duarte, Teresa Martins
Publié dans: IOP Conference Series: Materials Science and Engineering, Numéro 236, 2017, Page(s) 012107, ISSN 1757-8981
Éditeur: 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.

Auteurs: Álvaro Calle-Cordón, Noemi Jiménez-Redondo, F J Morales-Gámiz, F A García-Villena, Amir H S Garmabaki, Johan Odelius
Publié dans: IOP Conference Series: Materials Science and Engineering, Numéro 236, 2017, Page(s) 012106, ISSN 1757-8981
Éditeur: 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

Auteurs: 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
Publié dans: Proceedings of Transport Research Arena TRA, Vienna, Austria, 2018, 2018
Éditeur: TRA2018

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

Auteurs: João Morgado; Emanuel Duarte
Publié dans: Proceedings of World Conference on Pavement and Asset Management, WCPAM2017, Numéro WCPAM2017, June 2017, 2017
Éditeur: WCPAM2017
DOI: 10.5281/zenodo.1284904

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

Auteurs: Francisco J. Morales, Antonio Reyes, Noelia Caceres, Luis M. Romero, Francisco G. Benitez
Publié dans: Transportation Research Record (Journal of the Transportation Research Board), 2018
Éditeur: Sage Publications
DOI: 10.5281/zenodo.1297504

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

Auteurs: 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
Publié dans: Proceedings of Transport Research Arena TRA, Vienna, Austria, 2018, 2018
Éditeur: TRA2018

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

Auteurs: Ute Kandler, Axel Simroth
Publié dans: Proceedings of International Conference on Operations Research (OR2017), 2017, ISSN 0721-5924
Éditeur: Operations Research Society - Springer

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

Auteurs: Ute Kandler, Axel Simroth, João Morgado, Emanuel Duarte
Publié dans: Proceedings of Transport Research Arena TRA, Vienna, Austria, 2018, 2018
Éditeur: TRA2018

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

Auteurs: Antonio Reyes, Francisco J. Morales, Noelia Caceres, Luis M. Romero, Francisco G. Benitez, Joao Morgado, Emanuel Duarte, Teresa Martins
Publié dans: Proceedings of Transport Research Arena TRA, Vienna, Austria, 2018, 2018
Éditeur: TRA2018