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INFRALERT

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

Total Cost €

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EC-Contrib. €

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Partnership

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Project "INFRALERT" data sheet

The following table provides information about the project.

Coordinator
FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. 

Organization address
address: HANSASTRASSE 27C
city: MUNCHEN
postcode: 80686
website: www.fraunhofer.de

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Project website http://www.infralert.eu
 Total cost 3˙183˙243 €
 EC max contribution 3˙183˙243 € (100%)
 Programme 1. H2020-EU.3.4. (SOCIETAL CHALLENGES - Smart, Green And Integrated Transport)
 Code Call H2020-MG-2014_TwoStages
 Funding Scheme RIA
 Starting year 2015
 Duration (year-month-day) from 2015-05-01   to  2018-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. DE (MUNCHEN) coordinator 661˙250.00
2    CENTRO DE ESTUDIOS DE MATERIALES Y CONTROL DE OBRA SA ES (MALAGA) participant 567˙000.00
3    LULEA TEKNISKA UNIVERSITET SE (LULEA) participant 502˙493.00
4    UNIVERSIDAD DE SEVILLA ES (SEVILLA) participant 413˙750.00
5    REGENS INFORMATIKAI RESZVENYTARSASAG HU (BUDAPEST) participant 380˙000.00
6    DMA SRL IT (TORINO) participant 377˙500.00
7    INFRAESTRUTURAS DE PORTUGAL SA PT (LISBOA) participant 281˙250.00
8    EP ESTRADAS DE PORTUGAL SA PT (ALMADA) participant 0.00

Map

 Project objective

INFRALERT aims to develop an expert-based information system to support and automate linear asset infrastructure management from measurement to maintenance. This enfolds the collection, storage and analysis of inspection data, the deduction of interventions to keep the performance of the network in optimal condition, and the optimal planning of maintenance interventions. It will also assess new construction strategic decisions. The condition of the land transport infrastructure has a big societal and economic relevance, since constraints result in disruptions of service. The demand for surface transport will significantly increase in the next years. Given budget restrictions, a substantial enlargement of the road/rail network in the next decades is doubtful. Besides, the aging infrastructure will require more maintenance interventions which infer normal traffic operation. Therefore, the only way to increase infrastructure capacity for the increased transportation demand is to optimise the performance of the existing infrastructure. This issue is addressed by INFRALERT. INFRALERT will develop and deploy solutions that enhance the infrastructure performance and adapt its capacity to growing needs by: (i) ensuring the operability under traffic disruptions; (ii) keeping and increasing the availability by optimising operational maintenance interventions and assessing strategic long-term decisions on new construction; and (iii) ensuring service reliability and safety by minimising incidences and failures. INFRALERT will be directly applicable by Rail and Road Infrastructure Managers in the field of Intelligent Maintenance and long term strategic planning. Two real pilots (for roads and rail transport systems) will be used to validate and demonstrate the results of the research activities. In both cases, extensive data from auscultation campaigns are available since some years ago. The empirical development of the whole project will be based on these pilot cases.

 Deliverables

List of deliverables.
Operation and integration guidelines for eIMS Documents, reports 2019-05-31 12:22:06
eIMS impact analysis for road and rail networks cases Documents, reports 2019-05-31 12:22:02
Methodologies and procedures for inferring three-dimensional alert-severity-intervention pattern space (cause-effect relationship’s knowledge). Supervised and unsupervised approaches. Documents, reports 2019-05-31 12:21:52
Dissemination & Communication Activities Documents, reports 2019-05-31 12:21:58
Application of physical, data-driven and symbolic models from component to system level Documents, reports 2019-05-31 12:21:52
Hybrid methodology in different asset levels: Contribution to more accurate asset forecasting and nowcasting Documents, reports 2019-05-31 12:22:02
Report on RAMS&LCC integrated models Documents, reports 2019-05-31 12:22:01
Report on models and algorithms for decision support Documents, reports 2019-05-31 12:21:57
Mid-term Dissemination & Communication Activities Documents, reports 2019-05-31 12:22:02
Report on a tool for strategic decision assessment Documents, reports 2019-05-31 12:22:00
Expert-based evolution of the data structure Other 2019-05-31 12:22:07
Smart decision support framework Documents, reports 2019-02-25 11:50:47
Website operative Websites, patent fillings, videos etc. 2019-05-31 12:17:28
Report on RAMS data collection and failure rate analysis at component level Documents, reports 2019-02-25 11:50:47

Take a look to the deliverables list in detail:  detailed list of INFRALERT deliverables.

 Publications

year authors and title journal last update
List of publications.
2018 Antonio Reyes, Francisco J. Morales, Noelia Caceres, Luis M. Romero, Francisco G. Benitez, Joao Morgado, Emanuel Duarte, Teresa Martins
AUTOMATIC PREDICTION OF MAINTENANCE INTERVENTION TYPES IN TRANSPORT LINEAR INFRASTRUCTURES USING MACHINE LEARNING
published pages: , ISSN: , DOI:
Proceedings of Transport Research Arena TRA, Vienna, Austria, 2018 2019-05-27
2018 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
COMBINED RAMS AND LCC ANALYSIS IN RAILWAY AND ROAD TRANSPORT INFRASTRUCTURES
published pages: , ISSN: , DOI:
Proceedings of Transport Research Arena TRA, Vienna, Austria, 2018 2019-05-27
2017 Francisco J. Morales, Antonio Reyes, Noelia Cáceres, Luis M. Romero, Francisco G. Benitez, Joao Morgado, Emanuel Duarte, Teresa Martins
Historical maintenance relevant information road-map for a self-learning maintenance prediction procedural approach
published pages: 12107, ISSN: 1757-8981, DOI: 10.1088/1757-899x/236/1/012107
IOP Conference Series: Materials Science and Engineering 236 2019-05-27
2017 Álvaro Calle-Cordón, Noemi Jiménez-Redondo, F J Morales-Gámiz, F A García-Villena, Amir H S Garmabaki, Johan Odelius
Integration of RAMS in LCC analysis for linear transport infrastructures. A case study for railways.
published pages: 12106, ISSN: 1757-8981, DOI: 10.1088/1757-899x/236/1/012106
IOP Conference Series: Materials Science and Engineering 236 2019-05-27
2017 Ute Kandler, Axel Simroth
DECISION SUPPORT FOR TACTICAL PLANNING OF MAINTENANCE ACTIVITIES – A USE CASE FOR THE INFRALERT PROJECT
published pages: , ISSN: 0721-5924, DOI:
Proceedings of International Conference on Operations Research (OR2017) 2019-05-27
2018 Ute Kandler, Axel Simroth, João Morgado, Emanuel Duarte
DECISION SUPPORT FOR TACTICAL PLANNING – A USE CASE FOR THE INFRALERT PROJECT
published pages: , ISSN: , DOI:
Proceedings of Transport Research Arena TRA, Vienna, Austria, 2018 2019-05-27
2018 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
INFRALERT: IMPROVING LINEAR TRANSPORT INFRASTRUCTURE EFFICIENCY BY AUTOMATED LEARNING AND OPTIMISED PREDICTIVE MAINTENANCE TECHNIQUES
published pages: , ISSN: , DOI:
Proceedings of Transport Research Arena TRA, Vienna, Austria, 2018 2019-05-27
2016 João Morgado; Emanuel Duarte
O PROJETO INFRALERT: APRESENTAÇÃO E PRIMEIROS DESENVOLVIMENTOS
published pages: 1-9, ISSN: , DOI:
Proc. of the 8º Congresso Rodoviário Português April 2016 2019-02-25
2017 Noemi Jiménez-Redondo, Alvaro Calle-Cordón, Ute Kandler, Axel Simroth, Francisco J Morales, Antonio Reyes, Johan Odelius, Aditya Thaduri, Joao Morgado, Emmanuele Duarte
Improving linear transport infrastructure efficiency by automated learning and optimised predictive maintenance techniques (INFRALERT)
published pages: 12105, ISSN: 1757-8981, DOI: 10.1088/1757-899x/236/1/012105
IOP Conference Series: Materials Science and Engineering 236 2019-05-27

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