Explore the words cloud of the CORTEX project. It provides you a very rough idea of what is the project "CORTEX" about.
The following table provides information about the project.
Coordinator |
CHALMERS TEKNISKA HOEGSKOLA AB
Organization address contact info |
Coordinator Country | Sweden [SE] |
Project website | http://cortex-h2020.eu/ |
Total cost | 5˙462˙113 € |
EC max contribution | 5˙092˙626 € (93%) |
Programme |
1. H2020-Euratom-1.1. (Support safe operation of nuclear systems) |
Code Call | NFRP-2016-2017-1 |
Funding Scheme | RIA |
Starting year | 2017 |
Duration (year-month-day) | from 2017-09-01 to 2021-08-31 |
Take a look of project's partnership.
The CORTEX project aims at developing an innovative core monitoring technique that allows detecting anomalies in nuclear reactors, such as excessive vibrations of core internals, flow blockage, coolant inlet perturbations, etc. The technique will be based on primarily using the inherent fluctuations in neutron flux recorded by in-core and ex-core instrumentation, from which the anomalies will be differentiated depending on their type, location and characteristics. The method is non-intrusive and does not require any external perturbation of the system. The project will result in a deepened understanding of the physical processes involved. This will allow utilities to detect operational problems at a very early stage and to take proper actions before such problems have any adverse effect on plant safety and reliability. With an ageing fleet of nuclear reactors utilizing more challenging fuel assembly designs, core loadings, and operating more often in load-follow, new operational problems have been observed during the last decade and will become more frequent in the future. By making the detection and characterization of anomalies possible, the availability of nuclear-generated electricity will be further improved. This will contribute to a lowering of the CO2 footprint to the environment and to a higher availability of cheap base-load electricity to the consumers. By implementing the technique in the existing fleet of reactors, the technique will have a major impact. Moreover, the technique, being generic in nature, can be applied to future reactor types and designs. In order to develop a method that can reach a high Technology Readiness Level, the consortium was strategically structured around the required core expertise from all the necessary actors of the nuclear industry, both within Europe and outside. The broad expertise of the consortium members ensures the successful development of new in-situ monitoring techniques.
Development of advanced signal processing techniques and evaluation results | Documents, reports | 2020-03-06 16:01:44 |
Modelling of FSIs for reactor vessel internals | Documents, reports | 2020-03-06 10:21:56 |
Development of machine learning techniques and evaluation of analysis results | Documents, reports | 2020-02-18 11:24:38 |
Methodology for uncertainty and sensitivity analysis | Documents, reports | 2020-02-18 11:24:38 |
Description of scenarios for the simulated data | Documents, reports | 2020-02-18 11:24:37 |
Experimental report of the 1st campaign at AKR-2 and CROCUS | Other | 2020-02-18 11:24:37 |
Website | Websites, patent fillings, videos etc. | 2020-02-18 11:24:37 |
Take a look to the deliverables list in detail: detailed list of CORTEX deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2019 |
Georgios Leontidis Deep learning: 3D convolutional and recurrent neural networks in reactor perturbations unfolding and anomaly detection published pages: , ISSN: , DOI: 10.5281/zenodo.2578845 |
1 | 2020-02-18 |
2019 |
Petr Stulik Noise analysis in NPP diagnostic data processing published pages: , ISSN: , DOI: 10.5281/zenodo.2578832 |
1 | 2020-02-18 |
2018 |
Francesco Caliva; Fabio De Sousa Ribeiro; Antonios Mylonakis; Christophe Demazière; Georgios Leontidis; Stefanos Kollias A Deep Learning Approach to Anomaly Detection in Nuclear Reactors published pages: , ISSN: , DOI: 10.5281/zenodo.1410083 |
1 | 2020-02-18 |
2019 |
Georgios Leontidis State of the art machine learning methodologies published pages: , ISSN: , DOI: 10.5281/zenodo.2578843 |
1 | 2020-02-18 |
2019 |
Georgios Alexandridis Signal processing methodologies for nuclear reactor data published pages: , ISSN: , DOI: 10.5281/zenodo.2578837 |
1 | 2020-02-18 |
2018 |
Luis Alejandro Torres Delgado; Cristina Montalvo; AgustÃn GarcÃa-Berrocal; Dionysios Chionis; Abdelhamid Dokhane Analysis of simulated signals from neutron detectors in PWR reactors when mechanical and themohydraulic perturbations are applied. published pages: , ISSN: , DOI: 10.5281/zenodo.2535517 |
1 | 2020-02-18 |
2017 |
Demazière, Christophe; Vinai, Paolo; Hursin, Mathieu; Kollias, Stefanos; Herb, Joachim Noise-Based Core Monitoring And Diagnostics – Overview of the Cortex Project published pages: , ISSN: , DOI: 10.5281/zenodo.1230346 |
1 | 2020-02-18 |
2018 |
Ribeiro, Fabio De Sousa; Caliva, Francesco; Chionis, Dionysios; Dokhane, Abdelhamid; Mylonakis, Antonios; Demaziere, Christophe; Leontidis, Georgios; Kollias, Stefanos Towards a Deep Unified Framework for Nuclear Reactor Perturbation Analysis published pages: , ISSN: , DOI: 10.5281/zenodo.2480264 |
1 | 2020-02-18 |
2018 |
A. Vidal-Ferraandiz; D. Ginestar; A. Carreno; G. Verdu Preliminary study of fuel assembly vibrations in a nuclear reactor published pages: , ISSN: , DOI: 10.5281/zenodo.2480773 |
1 | 2020-02-18 |
2018 |
Nicolás Olmo-Juan; Teresa Barrachina; Rafael Miró; Gumersindo Verdú; Christophe Demazière Estudio comparativo del ruido neutrónico mediante el uso del código neutrónico PARCS y del simulador de ruido neutrónico CORE SIM published pages: , ISSN: , DOI: 10.5281/zenodo.2480913 |
1 | 2020-02-18 |
2018 |
Demazière, Christophe; Vinai, Paolo; Hursin, Mathieu; Kollias, Stafanos; Herb, Joachim Overview of the CORTEX project published pages: , ISSN: , DOI: 10.5281/zenodo.1244165 |
1 | 2020-02-18 |
2019 |
Petr Stulik UJV activity in the NPP noise diagnostics published pages: , ISSN: , DOI: 10.5281/zenodo.2578828 |
1 | 2020-02-18 |
2019 |
L.A. Torres, D. Chionis, Cristina Montalvo, A. Dokhane, A. GarcÃa-Berrocal Neutron noise analysis of simulated mechanical and thermal-hydraulic perturbations in a PWR core published pages: 242-252, ISSN: 0306-4549, DOI: 10.1016/j.anucene.2018.11.032 |
Annals of Nuclear Energy 126 | 2020-02-18 |
2019 |
Tatiana Tambouratzis The combination of state-of-the-art signal processing and the computational intelligence paradigm for the efficient, accurate, and robust processing of nuclear reactor data published pages: , ISSN: , DOI: 10.5281/zenodo.2578841 |
1 | 2020-02-18 |
2019 |
Christophe Demaziere Neutron noise simulation for development and testing published pages: , ISSN: , DOI: 10.5281/zenodo.2578830 |
1 | 2020-02-18 |
2019 |
Jindrich Macek Reconstruction of ex- and in-core neutron signals published pages: , ISSN: , DOI: 10.5281/zenodo.2578835 |
1 | 2020-02-18 |
2018 |
Olmo-Juan, N.; Demazière, C.; Barrachina, T.; Miró, R.; Verdú, G. Comparative study of neutron noise calculations using the neutron kinetics code PARCS and the neutron noise simulator CORE SIM published pages: , ISSN: , DOI: 10.5281/zenodo.1243982 |
1 | 2020-02-18 |
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The information about "CORTEX" are provided by the European Opendata Portal: CORDIS opendata.