COGNITIVE PLANTS THROUGH PROACTIVE SELF-LEARNING HYBRID DIGITAL TWINS

Project Information

COGNITWIN

Grant agreement ID: 870130

DOI

10.3030/870130

Project closed

EC signature date 22 August 2019

Start date 1 September 2019

End date 28 February 2023

Funded under

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

Total cost

€ 8 614 343,21

EU contribution

€ 6 982 431,38

Coordinated by

SINTEF AS
Norway

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Documents, reports (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

Demonstrators, pilots, 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

Websites, patent fillings, videos etc. (1)

Website portal

Other (1)

Material prepared for the workshops and final conclusions

Publications

Peer reviewed articles (10)

Digital Twin and Internet of Things—Current Standards Landscape

Author(s): Michael Jacoby, Thomas Usländer
Published in: Applied Sciences, Issue 10/18, 2020, Page(s) 6519, ISSN 2076-3417
Publisher: MDPI
DOI: 10.3390/app10186519

Estimating Fuel Characteristics from Simulated Circulating Fluidized Bed Furnace Data

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

Methodology and Tools for Digital Twin Management—The FA3ST Approach

Author(s): Ljiljana Stojanovic, Thomas Usländer, Friedrich Volz, Christian Weißenbacher, Jens Müller, Michael Jacoby, Tino Bischoff
Published in: IoT, Issue 2, 2021, Page(s) 717-740, ISSN 2624-831X
Publisher: MDPI
DOI: 10.3390/iot2040036

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

Author(s): Christian Schorr; Payman Goodarzi; Fei Chen; Tim Dahmen
Published in: Applied Sciences, Issue 20763417, 2021, Page(s) 2199(1-16), ISSN 2076-3417
Publisher: MDPI
DOI: 10.3390/app11052199

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

Author(s): Ulrike Faltings; Tobias Bettinger; Swen Barth; Michael Schäfer
Published in: Information, Issue 20782489, 2021, Page(s) 9(1-15), ISSN 2078-2489
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/info13010009

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

Author(s): Sahan Yoruç Selçuk,Perin Ünal, Özlem Albayrak, Moez Jomâa
Published in: Information, Issue 12, 2021, Page(s) 386(1-14), ISSN 2078-2489
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/info12100386

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

Author(s): Bilgin Umut Deveci, Mert Çeltikoglu, Özlem Albayrak, Perin Ünal, Pınar Kırcı
Published in: Information Systems Frontiers, 2023, ISSN 1572-9419
Publisher: Springer Nature
DOI: 10.1007/s10796-023-10371-z

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

Author(s): Michael Jacoby, Branislav Jovicic, Ljiljana Stojanovic, Nenad Stojanović
Published in: Information, Issue 12/6, 2021, Page(s) 217, ISSN 2078-2489
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/info12060217

Fusing Physical Process Models with Measurement Data Using FIR Calibration

Author(s): Enso Ikonen, Istvan Selek
Published in: Journal of Control Engineering and Applied Informatics, Issue Vol 23, No 2, 2021, Page(s) 67-76, ISSN 1454-8658
Publisher: Romanian Society of Control Engineering and Technical Informatics

Hybrid and Cognitive Digital Twins for the Process Industry

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

Book chapters (3)

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

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

Smart Services in the Physical World: Digital Twins

Author(s): Ljiljana Stojanovic, Sebastian R. Bader
Published in: Smart Service Management - Design Guidelines and Best Practices, 2020, Page(s) 137-147, ISBN 978-3-030-58181-7
Publisher: 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

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

Conference proceedings (12)

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

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

Control System Design and Implementation Based on Big Data and Ontology

Author(s): Seyithan Temel, Emre Ummak, Abdülkadir Tokgöz, Furkan Işık, Özlem Albayrak, Perin Ünal, Murat Özbayoğlu
Published in: 2022 IEEE International Conference on Big Data (Big Data), 2022, Page(s) 6048-6056, ISBN 978-1-6654-8045-1
Publisher: 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

Author(s): Özlem ALBAYRAK, Perin ÜNAL*
Published in: Fifth International Iron & Steel Symposium, Data Science in Process Engineering, 2021, ISBN 978-605-9554-57-2
Publisher: Karabük University Publishing

Cognitive Digital Twins for the Process Industry

Author(s): Abburu, Sailesh; Berre, Arne J.; Jacoby, Michael; Roman, Dumitru; Stojanovic, Ljiljana; Stojanovic, Nenad
Published in: International Conference on Advanced Cognitive Technologies and Applications, 2020, ISBN 978-1-61208-780-1
Publisher: International Conference on Advanced Cognitive Technologies and Applications

COGNITWIN – Hybrid and Cognitive Digital Twins for the Process Industry

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

On-line estimation of circulating fluidized bed boiler fuel composition

Author(s): Enso Ikonen; Markus Neuvonen; Istvan Selek; Mikko Salo; Mika Liukkonen
Published in: 2022 UKACC 13th International Conference on Control (CONTROL), 2022, Page(s) 136-141, ISBN 978-1-6654-5201-4
Publisher: 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

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

A Comparison of Deep Transfer Learning Methods on Bearing Fault Detection

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

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

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

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

Author(s): Fatih Yallıç, Özlem Albayrak, Perin Ünal
Published in: 3rd International Conference on Innovative Intelligent Industrial Production and Logistics, ETCIIM 2022, 2022, ISBN 978-989-758-612-5
Publisher: SCITEPRESS - Science and Technology Publications, Lda.
DOI: 10.5220/0011561400003329

A Hybrid Digital Twin for Optimal Si-Production

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

Calibration of Physical Models with Process Data using FIR Filtering

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