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Documentssublimar2017-05-29T11:43:11+02:00
1st Open Workshop of the INFRALERT project (16th November 2016) 1st Open Workshop of the INFRALERT project (16th November 2016)
00_INFRALERT_1st Open Workshop_Agenda
01_INFRALERT_Welcome_AxelSimroth_FraunhoferIVI
02_INFRALERT_Overview_NoemiJimenez_CEMOSA
03_INFRALERT_Background_CesareSantanera_DMA
04_INFRALERT_RoadSector_AM_JoaoGomes_IP
05_INFRALERT_RailwaySector_AM_HenkSamson_STRUKTON
06_INFRALERT_DataFarm_CesareSantanera_DMA
07_INFRALERT_eIMSframework_AndrasJuszt_Regens
08_INFRALERT_AssetCondition_JohanOdelius_LTU
09_INFRALERT_AlertManagement_FranciscoGBenitez_USE
10_INFRALERT_RAMS_LCC_AlvaroCalle_CEMOSA
11_INFRALERT_DecisionSupport_UteKandler_FraunhoferIVI
01_INFRALERT_WelcomeSpeech_AxelSimroth_FraunhoferIVI
2nd Open Workshop of the INFRALERT project (17th April 2018) 2nd Open Workshop of the INFRALERT project (17th April 2018)
INFRALERT 2nd Open Workshop Agenda
01_INFRALERT_Overview_Noemi-Jiménez_CEMOSA
02_INFRALERT_WP2_Cesare Santanera_DMA
03_INFRALERT_WP3_Johan Odelius_LTU
04_INFRALERT_WP4_Francisco García_USE
05_INFRALERT_WP5_Juan Jacobo Peralta_CEMOSA
06_INFRALERT_WP6_Ute Kandler_FHG
07_INFRALERT_WP7_András Justz_REGENS
08_INFRALERT_WP8_Axel Simroth_FHG
Conference Publications Conference Publications
Poster presented at TRA2016 Marketplace
João Morgado, Emanuel Duarte. “O projeto infralert: apresentação e primeriros desenvolvimentos” – 8th Portuguese Road Congress (Lisbon – April, 2016)
Poster presented at 1st Workshop on Infrastructure Cloud – Construction and Maintenance (Warsaw, April 2017)
Noemi Jiménez-Redondo, Alvaro Calle-Cordón, et. al. “Improving linear transport infrastructure efficiency by automated learning and optimised predictive maintenance techniques (INFRALERT)”. BESTInfra 2017.
Álvaro Calle-Cordón, Noemi Jiménez-Redondo, et. al. “Integration of RAMS in LCC analysis for linear transport infrastructures. A case study for railways” (BESTInfra 2017)
Francisco J. Morales, Antonio, Reyes, et. al. “Historical maintenance relevant information road-map for a self-learning maintenance prediction procedural approach”. BESTInfra 2017.
Ute Kandler. “Decision Support for Tactical Planning of Maintenance Activities – a use case for the INFRALERT project”. International Conference on Operations Research (OR2017) (Berlín, Sep 2017)
Poster presented at Transportation Research Board (TRB) 97th Annual Meeting (January, 2018)
F.J. Morales, A. Reyes, N. Cáceres, L. Romero, F.G. Benítez, “Automatic prediction of maintenance interventions types in roads using machine learning and historical records” (Transportation Research Record (Journal of the Transportation Research Board, January 2018)
Ute Kandler, Axel Simroth, et al. “Decision support for tactical planning – A use case of the INFRALERT project”. TRA 2018 (Vienna, April 2018)
Poster presented at Transport Resesarch Arena (TRA2018) (Vienna, April 2018)
Noemi Jiménez et al. “INFRALERT: improving linear transport infrastructure efficiency by automated learning and optimised predictive maintenance techniques” (Vienna, TRA 2018, April 2018)
Álvaro Calle, Noemi Jiménez, et al. “Combined RAMS and LCC analysis in railway and road transport infrastructures”. TRA 2018 (Vienna, April 2018)
Antonio Reyes, Francisco J. Morales, et. al. “Automatic prediction of maintenance intervention types in transport linear infrastructures using machine learning”. Paper & Poster presented at TRA 2018 (Vienna, April 2018)
Deliverables Deliverables
D3.1 Segregation of linear asset information in different hierarchies for nowcasting and forecasting (summary sheet)
D1.1 Requirements and targets of the INFRALERT subsystems (summary sheet)
D1.2 Set up of case studies and Evaluation Framework (summary sheet)
D4.1 Database relevant to alert estimation (summary sheet)
D6.1 Smart Decision Support Framework (summary sheet)
D6.1 Smart Decision Support Framework (full deliverable)
D5.1 Report on RAMS data collection and failure rate analysis at component level (summary sheet)
D5.1 Report on RAMS data collection and failure rate analysis at component level (full deliverable)
D9.2 Dissemination and Communication Plan (summary sheet)
D7.1 Architectural and Functional Definition of eIMS (summary sheet)
D2.1 Data ontology and architecture. Abstract data types definition. Data localization architecture (summary sheet)
D4.3 Methodologies and procedures for inferring three-dimensional alert-severity-intervention pattern space. Supervised and unsupervised approaches (summary sheet)
D9.3 Dissemination & Communication Activities. Mid-Term Report (summary sheet)
D5.2 Report on RAMS&LCC integrated models (summary sheet)
D4.3 Methodologies and procedures for inferring three-dimensional alert-severity-intervention pattern space. Supervised and unsupervised approaches (full deliverable)
D3.2 Application of physical, data-driven and symbolic models from component to system level (summary sheet)
D3.2 Application of physical, data-driven and symbolic models from component to system level (full deliverable)
D4.2 Asset alert level estimator (summary sheet)
D6.2 Report on models and algorithms for decision support (summary sheet)
D6.2 Report on models and algorithms for decision support (full deliverable)
D2.2 Implementation and working prototype, exposing the functionalities via the web (summary sheet)
D5.3 A methodology for RAMS&LCC analysis in transport infrastructure (summary sheet)
D6.3 Report on a tool for strategic decision assessment (summary sheet)
D3.3 Hybrid methodology in different asset levels: Contribution to more accurate asset forecasting and nowcasting (summary sheet)
D4.4 Asset severity level predictor (summary sheet)
Newsletter Newsletter
INFRALERT Newsletter No.1
INFRALERT Newsletter No.2
INFRALERT Newsletter No.3
Others Others
INFRALERT Leaflet No.1
INFRALERT Leaflet No.2
Press releases Press releases
INFRALERT press release no.1 (01.05.15) – Official start of the project
INFRALERT press release no.1 (Spanish) (01.05.15) – Comienzo oficial del proyecto
INFRALERT press release no.2 (19.06.15) – Kick-off meeting
INFRALERT press release no.3 (16.07.15) – Website launched
INFRALERT Press Release no.4 (02.10.15) – 1st EAB Workshop
Scientific Papers Scientific Papers
João Morgado, Emanuel Duarte. “O projeto infralert: apresentação e primeriros desenvolvimentos” – 8th Portuguese Road Congress (Lisbon – April, 2016)
Noemi Jiménez-Redondo, Alvaro Calle-Cordón, et. al. “Improving linear transport infrastructure efficiency by automated learning and optimised predictive maintenance techniques (INFRALERT)”. BESTInfra 2017.
Álvaro Calle-Cordón, Noemi Jiménez-Redondo, et. al. “Integration of RAMS in LCC analysis for linear transport infrastructures. A case study for railways” (BESTInfra 2017)
Francisco J. Morales, Antonio, Reyes, et. al. “Historical maintenance relevant information road-map for a self-learning maintenance prediction procedural approach”. BESTInfra 2017.
F.J. Morales, A. Reyes, N. Cáceres, L. Romero, F.G. Benítez, “Automatic prediction of maintenance interventions types in roads using machine learning and historical records” (Transportation Research Record (Journal of the Transportation Research Board, January 2018)
Ute Kandler, Axel Simroth, et al. “Decision support for tactical planning – A use case of the INFRALERT project”. TRA 2018 (Vienna, April 2018)
Noemi Jiménez et al. “INFRALERT: improving linear transport infrastructure efficiency by automated learning and optimised predictive maintenance techniques” (Vienna, TRA 2018, April 2018)
Álvaro Calle, Noemi Jiménez, et al. “Combined RAMS and LCC analysis in railway and road transport infrastructures”. TRA 2018 (Vienna, April 2018)
Antonio Reyes, Francisco J. Morales, et. al. “Automatic prediction of maintenance intervention types in transport linear infrastructures using machine learning”. Paper & Poster presented at TRA 2018 (Vienna, April 2018)
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under gran agreement No 636496

Horizon 2020 - European Commission

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