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

Informazioni relative al progetto

INFRALERT

ID dell’accordo di sovvenzione: 636496

DOI

10.3030/636496

Progetto chiuso

Data della firma CE 14 Aprile 2015

Data di avvio 1 Maggio 2015

Data di completamento 30 Aprile 2018

Finanziato da

• SOCIETAL CHALLENGES - Smart, Green And Integrated Transport

Costo totale

€ 3 183 243,75

Contributo UE

€ 3 183 243,75

Coordinato da

FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER ANGEWANDTEN FORSCHUNG EV
Germany

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

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

Pubblicazioni

Peer reviewed articles (3)

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

Autori: Noemi Jiménez-Redondo, Alvaro Calle-Cordón, Ute Kandler, Axel Simroth, Francisco J Morales, Antonio Reyes, Johan Odelius, Aditya Thaduri, Joao Morgado, Emmanuele Duarte
Pubblicato in: IOP Conference Series: Materials Science and Engineering, Numero 236, 2017, Pagina/e 012105, ISSN 1757-8981
Editore: 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

Autori: Francisco J. Morales, Antonio Reyes, Noelia Cáceres, Luis M. Romero, Francisco G. Benitez, Joao Morgado, Emanuel Duarte, Teresa Martins
Pubblicato in: IOP Conference Series: Materials Science and Engineering, Numero 236, 2017, Pagina/e 012107, ISSN 1757-8981
Editore: 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.

Autori: Álvaro Calle-Cordón, Noemi Jiménez-Redondo, F J Morales-Gámiz, F A García-Villena, Amir H S Garmabaki, Johan Odelius
Pubblicato in: IOP Conference Series: Materials Science and Engineering, Numero 236, 2017, Pagina/e 012106, ISSN 1757-8981
Editore: 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

Autori: 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
Pubblicato in: Proceedings of Transport Research Arena TRA, Vienna, Austria, 2018, 2018
Editore: TRA2018

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

Autori: João Morgado; Emanuel Duarte
Pubblicato in: Proceedings of World Conference on Pavement and Asset Management, WCPAM2017, Numero WCPAM2017, June 2017, 2017
Editore: WCPAM2017
DOI: 10.5281/zenodo.1284904

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

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

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

Autori: 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
Pubblicato in: Proceedings of Transport Research Arena TRA, Vienna, Austria, 2018, 2018
Editore: TRA2018

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

Autori: Ute Kandler, Axel Simroth
Pubblicato in: Proceedings of International Conference on Operations Research (OR2017), 2017, ISSN 0721-5924
Editore: Operations Research Society - Springer

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

Autori: Ute Kandler, Axel Simroth, João Morgado, Emanuel Duarte
Pubblicato in: Proceedings of Transport Research Arena TRA, Vienna, Austria, 2018, 2018
Editore: TRA2018

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

Autori: Antonio Reyes, Francisco J. Morales, Noelia Caceres, Luis M. Romero, Francisco G. Benitez, Joao Morgado, Emanuel Duarte, Teresa Martins
Pubblicato in: Proceedings of Transport Research Arena TRA, Vienna, Austria, 2018, 2018
Editore: TRA2018