COGNITIVE PLANTS THROUGH PROACTIVE SELF-LEARNING HYBRID DIGITAL TWINS

Informations projet

COGNITWIN

N° de convention de subvention: 870130

DOI 10.3030/870130

Projet clôturé

Date de signature de la CE 22 Août 2019

Date de début 1 Septembre 2019

Date de fin 28 Février 2023

Financé au titre de

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Advanced manufacturing and processing

Coût total € 8 614 343,21

Contribution de l’UE € 6 982 431,38

Coordonné par

SINTEF AS
Norvège

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, rapports (20)

Short Interim Management Report - 3

Short Interim Management Report 3

Short Interim Management Report - 4
IA Coordination and Performance Indicators Measurement
Risk Assessment and Management Action Plan
T0 baseline measurement of the KPIs
Final report and outreach and dissemination activities
Risk Assessment and Management Action Plan - 2
Short Interim Management Report - 2
Short Interim Management Reports
IA Coordination and Performance Indicators Definition
A report on existing level of digitalisation and describing challenges for Steel pilots, incl. identification of novel sensors
IA Coordination and Performance Indicators Measurement - 2
Baseline Hybrid AI and Cogntive Twin Toolbox
Data Management Plan
Documentation providing input to relevant research and education programmes
A report on existing level of digitalization, describing challenges for Engineering pilot, incl. identification of novel sensors and collected information for cognitive modelling
Intermediate report on dissemination activities
Baseline Platform, Sensor and Data Interoperability Toolbox
Dissemination and communication plan and tools
A report on existing level of digitalisation and describing challenges for Non-ferrous pilots, incl. identification of novel sensors

Démonstrateurs, pilotes, prototypes (9)

Updated Platform, Sensor and Data Interoperability Toolbox
A complete Cognitive Twin for Engineering pilot
Initial Platform, Sensor and Data Interoperability Toolbox
Final Hybrid AI and Cogntive Twin Toolbox
Updated Hybrid AI and Cogntive Twin Toolbox
A complete digital twin enabled with cognitive elements for the Steel pilots
A complete digital twin enabled with cognitive elements for the Non-ferrous pilots
Initial Hybrid AI and Cogntive Twin Toolbox
Final Platform, Sensor and Data Interoperability Toolbox

Sites Web, dépôts de brevet, vidéos, etc. (1)

Website portal

Autres (1)

Material prepared for the workshops and final conclusions

Publications

Articles approuvés par les pairs (10)

Digital Twin and Internet of Things—Current Standards Landscape

Auteurs: Michael Jacoby, Thomas Usländer
Publié dans: Applied Sciences, Numéro 10/18, 2020, Page(s) 6519, ISSN 2076-3417
Éditeur: MDPI
DOI: 10.3390/app10186519

Estimating Fuel Characteristics from Simulated Circulating Fluidized Bed Furnace Data

Auteurs: Neuvonen, M. (Markus); Selek, I. (Istvan); Ikonen, E. (Enso)
Publié dans: 2021 9th International Conference on Systems and Control (ICSC), Numéro 23790067, 2021, Page(s) 107-112, ISSN 2379-0067
Éditeur: IEEE
DOI: 10.1109/icsc50472.2021.9666596

Methodology and Tools for Digital Twin Management—The FA3ST Approach

Auteurs: Ljiljana Stojanovic, Thomas Usländer, Friedrich Volz, Christian Weißenbacher, Jens Müller, Michael Jacoby, Tino Bischoff
Publié dans: IoT, Numéro 2, 2021, Page(s) 717-740, ISSN 2624-831X
Éditeur: MDPI
DOI: 10.3390/iot2040036

Neuroscope: An Explainable AI Toolbox for Semantic Segmentation and Image Classification of Convolutional Neural Nets

Auteurs: Christian Schorr; Payman Goodarzi; Fei Chen; Tim Dahmen
Publié dans: Applied Sciences, Numéro 20763417, 2021, Page(s) 2199(1-16), ISSN 2076-3417
Éditeur: MDPI
DOI: 10.3390/app11052199

Impact on Inference Model Performance for ML Tasks Using Real-Life Training Data and Synthetic Training Data from GANs

Auteurs: Ulrike Faltings; Tobias Bettinger; Swen Barth; Michael Schäfer
Publié dans: Information, Numéro 20782489, 2021, Page(s) 9(1-15), ISSN 2078-2489
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/info13010009

A Workflow for Synthetic Data Generation and Predictive Maintenance for Vibration Data

Auteurs: Sahan Yoruç Selçuk,Perin Ünal, Özlem Albayrak, Moez Jomâa
Publié dans: Information, Numéro 12, 2021, Page(s) 386(1-14), ISSN 2078-2489
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/info12100386

Transfer Learning Enabled Bearing Fault Detection Methods Based on Image Representations of Single-Dimensional Signals

Auteurs: Bilgin Umut Deveci, Mert Çeltikoglu, Özlem Albayrak, Perin Ünal, Pınar Kırcı
Publié dans: Information Systems Frontiers, 2023, ISSN 1572-9419
Éditeur: Springer Nature
DOI: 10.1007/s10796-023-10371-z

An Approach for Realizing Hybrid Digital Twins Using Asset Administration Shells and Apache StreamPipes

Auteurs: Michael Jacoby, Branislav Jovicic, Ljiljana Stojanovic, Nenad Stojanović
Publié dans: Information, Numéro 12/6, 2021, Page(s) 217, ISSN 2078-2489
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/info12060217

Fusing Physical Process Models with Measurement Data Using FIR Calibration

Auteurs: Enso Ikonen, Istvan Selek
Publié dans: Journal of Control Engineering and Applied Informatics, Numéro Vol 23, No 2, 2021, Page(s) 67-76, ISSN 1454-8658
Éditeur: Romanian Society of Control Engineering and Technical Informatics

Hybrid and Cognitive Digital Twins for the Process Industry

Auteurs: Stein Tore Johansen, Perin Unal, Özlem Albayrak, Enso Ikonen, Kasper J. Linnestad, Sudi Jawahery, Akhilesh K. Srivastava, Bjørn Tore Løvfall
Publié dans: Open Engineering, Numéro 13(1), 2023, Page(s) 20220418, ISSN 2391-5439
Éditeur: Walter de Gruyter GmbH & Co. KG
DOI: 10.1515/eng-2022-0418

Chapitres d’ouvrage (3)

Smart Steel Pipe Production Plant via Cognitive Digital Twins: A Case Study on Digitalization of Spiral Welded Pipe Machinery

Auteurs: Özlem Albayrak, Perin Ünal
Publié dans: Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry - Ongoing Applications, Perspectives and Future Trends, Numéro 1338, 2021, Page(s) 132-143, ISBN 978-3-030-69366-4
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-69367-1_11

Smart Services in the Physical World: Digital Twins

Auteurs: Ljiljana Stojanovic, Sebastian R. Bader
Publié dans: Smart Service Management - Design Guidelines and Best Practices, 2020, Page(s) 137-147, ISBN 978-3-030-58181-7
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-58182-4_12

Data-Driven Artificial Intelligence and Predictive Analytics for the Maintenance of Industrial Machinery with Hybrid and Cognitive Digital Twins

Auteurs: Perin Unal, Özlem Albayrak, Moez Jomâa, Arne J. Berre
Publié dans: Technologies and Applications for Big Data Value, 2022, Page(s) 299-320, ISBN 978-3-030-78306-8
Éditeur: Springer, Cham
DOI: 10.1007/978-3-030-78307-5

Actes de conférence (12)

Simultaneous Prediction of Remaining-Useful-Life and Failure-Likelihood with GRU-based Deep Networks for Predictive Maintenance Analysis

Auteurs: Ali Yuce Kaleli; Aras Firat Unal; Sedat Ozer
Publié dans: 2021 44th International Conference on Telecommunications and Signal Processing (TSP), 2021, Page(s) 301-304, ISBN 978-1-6654-2933-7
Éditeur: IEEE
DOI: 10.1109/tsp52935.2021.9522592

Control System Design and Implementation Based on Big Data and Ontology

Auteurs: Seyithan Temel, Emre Ummak, Abdülkadir Tokgöz, Furkan Işık, Özlem Albayrak, Perin Ünal, Murat Özbayoğlu
Publié dans: 2022 IEEE International Conference on Big Data (Big Data), 2022, Page(s) 6048-6056, ISBN 978-1-6654-8045-1
Éditeur: IEEE
DOI: 10.1109/bigdata55660.2022.10020589

Digitalization of a Steel Pipe Production Factory: STEEL4.0- A Family of Products Developed on Routes from Industry 3.0 to Industry 4.0

Auteurs: Özlem ALBAYRAK, Perin ÜNAL*
Publié dans: Fifth International Iron & Steel Symposium, Data Science in Process Engineering, 2021, ISBN 978-605-9554-57-2
Éditeur: Karabük University Publishing

Cognitive Digital Twins for the Process Industry

Auteurs: Abburu, Sailesh; Berre, Arne J.; Jacoby, Michael; Roman, Dumitru; Stojanovic, Ljiljana; Stojanovic, Nenad
Publié dans: International Conference on Advanced Cognitive Technologies and Applications, 2020, ISBN 978-1-61208-780-1
Éditeur: International Conference on Advanced Cognitive Technologies and Applications

COGNITWIN – Hybrid and Cognitive Digital Twins for the Process Industry

Auteurs: Sailesh Abburu, Arne J. Berre, Michael Jacoby, Dumitru Roman, Ljiljana Stojanovic, Nenad Stojanovic
Publié dans: 2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), 2020, Page(s) 1-8, ISBN 978-1-7281-7037-4
Éditeur: IEEE
DOI: 10.1109/ice/itmc49519.2020.9198403

On-line estimation of circulating fluidized bed boiler fuel composition

Auteurs: Enso Ikonen; Markus Neuvonen; Istvan Selek; Mikko Salo; Mika Liukkonen
Publié dans: 2022 UKACC 13th International Conference on Control (CONTROL), 2022, Page(s) 136-141, ISBN 978-1-6654-5201-4
Éditeur: IEEE
DOI: 10.1109/control55989.2022.9781460

A Comprehensive Comparison of State-of-Art Machine Learning Algorithms on Fault Indication and Remaining Useful Life Determination by Telemetry Data

Auteurs: Aras Ünal, Ali Kaleli, Emre Ummak, Özlem Albayrak
Publié dans: The 8th International Conference on Future Internet of Things and Cloud, 2021, Page(s) 79-85, ISBN 978-1-6654-2575-9
Éditeur: IEEE
DOI: 10.1109/ficloud49777.2021.00019

A Comparison of Deep Transfer Learning Methods on Bearing Fault Detection

Auteurs: Bilgin Umut Deveci; Mert Celtikoglu; Tilbe Alp; Ozlem Albayrak; Perin Ünal; Pinar Kirci
Publié dans: 2021 8th International Conference on Future Internet of Things and Cloud (FiCloud), Numéro 1, 2021, Page(s) 285-292, ISBN 978-1-6654-2574-2
Éditeur: IEEE
DOI: 10.1109/ficloud49777.2021.00048

Heat exchanger fouling estimation for combustion–thermal power plants including load level dynamics

Auteurs: Markus Neuvonen; Istvan Selek; Enso Ikonen; Lauri Aho
Publié dans: 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2022, Page(s) 2987-2992, ISBN 978-1-6654-0782-3
Éditeur: IEEE
DOI: 10.1109/smc53654.2022.9945541

Asset Administration Shell Generation and Usage for Digital Twins: A Case Study for Non-destructive Testing.

Auteurs: Fatih Yallıç, Özlem Albayrak, Perin Ünal
Publié dans: 3rd International Conference on Innovative Intelligent Industrial Production and Logistics, ETCIIM 2022, 2022, ISBN 978-989-758-612-5
Éditeur: SCITEPRESS - Science and Technology Publications, Lda.
DOI: 10.5220/0011561400003329

A Hybrid Digital Twin for Optimal Si-Production

Auteurs: Kasper Linnestad, Kjetil Hildal, Lars K. Jakobsson, Sølve Eidnes, Vemund Tjessem, Erlend L. Bjørnstad, Stein Wasbø
Publié dans: Proceedings of the Silicon for the Chemical & Solar Industry XVI, 2022, Page(s) 1-16, ISBN 978-82-692919-0-2
Éditeur: SSRN
DOI: 10.2139/ssrn.4121131

Calibration of Physical Models with Process Data using FIR Filtering

Auteurs: Enso Ikonen, Istvan Selek
Publié dans: 2020 Australian and New Zealand Control Conference (ANZCC), 2020, Page(s) 143-148, ISBN 978-1-7281-9992-4
Éditeur: IEEE
DOI: 10.1109/anzcc50923.2020.9318340