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Publications (10 of 411) Show all publications
Cheng, H., He, Y., Zeng, P. & Vyatkin, V. (2024). Residual-Enhanced Physics-Guided Machine Learning With Hard Constraints for Subsurface Flow in Reservoir Engineering. IEEE Transactions on Geoscience and Remote Sensing, 62, Article ID 4502209.
Open this publication in new window or tab >>Residual-Enhanced Physics-Guided Machine Learning With Hard Constraints for Subsurface Flow in Reservoir Engineering
2024 (English)In: IEEE Transactions on Geoscience and Remote Sensing, ISSN 0196-2892, E-ISSN 1558-0644, Vol. 62, article id 4502209Article in journal (Refereed) Published
Place, publisher, year, edition, pages
IEEE, 2024
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-104302 (URN)10.1109/TGRS.2024.3357797 (DOI)2-s2.0-85183949404 (Scopus ID)
Note

Validerad;2024;Nivå 2;2024-03-22 (joosat);

Funder: National Natural Science Foundation of China (62203234); State Key Laboratory of Robotics of China (2023-Z03); Natural Science Foundation of Liaoning Province (2023-BS-025); Research Program of Liaoning Liaohe Laboratory (LLL23ZZ-02-02);

Available from: 2024-02-19 Created: 2024-02-19 Last updated: 2024-03-22Bibliographically approved
Galkin, N., Yang, C.-W. & Vyatkin, V. (2024). Towards the Automatic Transformation of the SIMULINK Model into an FPGA-in-Loop System and its Real-Time Simulation. IEEE Access
Open this publication in new window or tab >>Towards the Automatic Transformation of the SIMULINK Model into an FPGA-in-Loop System and its Real-Time Simulation
2024 (English)In: IEEE Access, E-ISSN 2169-3536Article in journal (Refereed) Epub ahead of print
Abstract [en]

Information is a key component of progress. Industry 4.0, and especially the future Industry 5.0, is closely related to the topic of the Digital Twin, where virtual components interact with each other. The main advantage of such a system is that it can fully mimic the behaviour of the complicated system, including various unexpected perturbations such as noise, jitter, delays, etc. Thus, the ability to create complex models and run them in real-time is a basic need for extending the Digital Twin. One of the major problems in the development of digital twins is the increasing complexity of the models. Therefore, large processing capacities and parallel computation become critical. The field-programmable gate array (FPGA) is a type of hardware that best fits this task. The FPGA-in-the-loop (FiL) can be considered as the container for running the Digital-Twin model. The transformation of a digital model into FiL is known and used by many companies at this time. However, the authors found that there are no publicly available model-to-FiL transformation methods. In this paper, the authors aim to fill this gap. We first discuss the major design challenges of a FiL system and provide recommendations to overcome them in the form of a road map. We then demonstrate a step-by-step process for converting a simple MATLAB/SIMULINK model to a FiL system using the proposed road map. Finally, we will demonstrate the validation process of the designed FiL systems and prove that they are running in real-time.

Place, publisher, year, edition, pages
IEEE, 2024
Keywords
FPGA-in-the-Loop, Digital Twin, Real-Time Simulator
National Category
Computer Systems
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-103539 (URN)10.1109/ACCESS.2024.3359918 (DOI)2-s2.0-85186083263 (Scopus ID)
Funder
Vinnova, 2022-03002
Note

Full text license: CC BY NC-ND

Available from: 2024-01-09 Created: 2024-01-09 Last updated: 2024-03-11
Cheng, H., Li, S., Zeng, P. & Vyatkin, V. (2023). Application of Deep Learning Method to Estimate Bottomhole Pressure Dynamics of Oil Wells. In: 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE): . Paper presented at 32nd IEEE International Symposium on Industrial Electronics (ISIE) 2023, Helsinki, Finland, June 19-21, 2023. IEEE
Open this publication in new window or tab >>Application of Deep Learning Method to Estimate Bottomhole Pressure Dynamics of Oil Wells
2023 (English)In: 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE), IEEE, 2023Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IEEE, 2023
National Category
Mathematics
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-104012 (URN)10.1109/ISIE51358.2023.10227912 (DOI)2-s2.0-85172117116 (Scopus ID)
Conference
32nd IEEE International Symposium on Industrial Electronics (ISIE) 2023, Helsinki, Finland, June 19-21, 2023
Note

Funder: State Key Laboratory of Robotics of China (2023-Z03); National Natural Science Foundation of China (62203234); Natural Science Foundation of Liaoning Province (2023-BS-025);

ISBN for host publication: 979-8-3503-9971-4;

Available from: 2024-01-29 Created: 2024-01-29 Last updated: 2024-01-30Bibliographically approved
Deng, J., Eklund, M., Sierla, S., Savolainen, J., Niemistö, H., Karhela, T. & Vyatkin, V. (2023). Application of reinforcement learning for energy consumption optimization of district heating system. In: 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE): . Paper presented at 32nd IEEE International Symposium on Industrial Electronics (ISIE) 2023, Helsinki, Finland, June 19-21, 2023. IEEE
Open this publication in new window or tab >>Application of reinforcement learning for energy consumption optimization of district heating system
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2023 (English)In: 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE), IEEE, 2023Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IEEE, 2023
National Category
Energy Engineering Energy Systems
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-104008 (URN)10.1109/ISIE51358.2023.10228102 (DOI)2-s2.0-85172091790 (Scopus ID)
Conference
32nd IEEE International Symposium on Industrial Electronics (ISIE) 2023, Helsinki, Finland, June 19-21, 2023
Note

Funder: Academy of Finlandgrant (348415); China Scholarship Council (202006080008)

ISBN for host publication: 979-8-3503-9972-1

Available from: 2024-01-30 Created: 2024-01-30 Last updated: 2024-01-30Bibliographically approved
Galkin, N., Yang, C.-W. & Vyatkin, V. (2023). Automatic Generation of Charging Point's Digital Twin for Virtual Commissioning of Their Automation Systems. IEEE Open Journal of the Industrial Electronics Society, 4, 14-26
Open this publication in new window or tab >>Automatic Generation of Charging Point's Digital Twin for Virtual Commissioning of Their Automation Systems
2023 (English)In: IEEE Open Journal of the Industrial Electronics Society, E-ISSN 2644-1284, Vol. 4, p. 14-26Article in journal (Refereed) Published
Abstract [en]

The wide propagation of electric vehicle (EV) charging infrastructure integrated into the energy distribution network poses numerous challenges for the engineering and control of the latter: the load dynamic characteristics become more unsteady, requiring more advanced control, predictions, and virtual commissioning. One step toward the automation of the design and simulation of new charging stations can be reached through the integration of the EV-specific standards and protocols with other widely spread electrical standards, thereby, improving the compatibility between standards, increasing the reuse of the intelligent work results, and promoting the development of EVs’ infrastructure. A method for virtual commissioning of electrical charging stations is proposed, implemented, and tested in a form of a software tool in which the electrical system description from the widely used IEC 61850 standard is used as an input. The designed tool builds a digital twin of the charging station that consists of its Simulink model as well as two automatically generated communication code primitives using the open charge point protocol for control and management purposes over the autogenerated model. The generated digital twin can be used for virtual commissioning purposes. The application of the method is illustrated in a case study.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023
Keywords
Charging point’s automation, digital twin, IEC 61850, MATLAB
National Category
Information Systems
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-95177 (URN)10.1109/ojies.2022.3230214 (DOI)000910528700002 ()2-s2.0-85146236310 (Scopus ID)
Funder
EU, Horizon 2020, 775970
Note

Validerad;2023;Nivå 2;2023-01-09 (hanlid);

Funder: ERA-Net SES 2018 (RegSys)

Available from: 2023-01-06 Created: 2023-01-06 Last updated: 2024-01-09Bibliographically approved
Galkin, N., Ruchkin, M., Vyatkin, V., Yang, C.-W. & Dubinin, V. (2023). Automatic Generation of Data centre Digital Twins for Virtual Commissioning of their Automation Systems. IEEE Access, 11, 4633-4644
Open this publication in new window or tab >>Automatic Generation of Data centre Digital Twins for Virtual Commissioning of their Automation Systems
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2023 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 11, p. 4633-4644Article in journal (Refereed) Published
Abstract [en]

Data centres are becoming an increasingly important part of our society’s infrastructure. The number of data centres is growing constantly, making growing the gross level of electrical energy consumption. At the same time, the rapid spread of sophisticated electrical devices as well as other automation systems, in general, produces an opportunity for making data centres an attractive player in the constantly designing energy market. But for this, new advanced technologies must be applied to solve the problems of complexity and heterogeneity in various types of data centre design. A new concept, which is based on the automated generation of a digital twin (DT) system, is directly from its schematic representations presented in this paper. A DT is a virtual version of an object or system, designed to aid decision-making and virtual commissioning through simulation, machine learning, and reasoning. In the scope of current work, the IEC 61850 standard is chosen as a starting point for a multi-step generation of the DT combining simulation model and decentralized control logic. As a result, the designed DT “clone” of an electrical system consists of the SIMULINK model of the electrical system plus the automatically generated control application (based on the IEC 61499 standard).

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023
Keywords
Digital Twin, Data Centre, Automation, IEC 61850, IEC 61499, MATLAB
National Category
Information Systems
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-95178 (URN)10.1109/access.2023.3234804 (DOI)000918823000001 ()2-s2.0-85147208706 (Scopus ID)
Funder
EU, Horizon 2020, 775970
Note

Validerad;2023;Nivå 2;2023-02-09 (joosat);

Funder: ERA-Net SES 2018 (RegSys)

Licens fulltext: CC BY License

Available from: 2023-01-06 Created: 2023-01-06 Last updated: 2023-09-15Bibliographically approved
Ovsiannikova, P., Pakonen, A. & Vyatkin, V. (2023). Automatic Generation of Repair Suggestions for Control Logic of I&C Systems. In: IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society: . Paper presented at 49th Annual Conference of the IEEE Industrial Electronics Society (IECON 2023), Singapore, Singapore, October 16-19, 2023. Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>Automatic Generation of Repair Suggestions for Control Logic of I&C Systems
2023 (English)In: IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society, Institute of Electrical and Electronics Engineers (IEEE), 2023Conference paper, Published paper (Refereed)
Abstract [en]

We present an approach for suggesting possible repairs for the control logic of I&C systems implemented in the form of function block diagrams (FBDs) during the design phase. Each FBD has a set of functional requirements formulated using linear temporal logic (LTL). To ensure the correctness of the implementation, an FBD is translated into SMV, the language of the NuSMV model checker, which verifies the model against its properties. If a property does not hold, NuSMV generates a counterexample. In previous works, we developed methods on visual counterexample explanation using both, the failing LTL formula and the FBD itself. The current work continues in this direction and utilizes the results of the counterexample explanation to suggest fixes to the FBD considering the failed properties and the whole set of requirements. We propose three strategies for fixes generation and experiment on the examples of the logic from the nuclear domain.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023
Series
Annual Conference of Industrial Electronics Society, ISSN 1553-572X, E-ISSN 2577-1647
Keywords
FBD repair, fix suggestions, functional requirements, I&C control logic, model checking, safety-critical systems
National Category
Computer and Information Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-103546 (URN)10.1109/IECON51785.2023.10311970 (DOI)2-s2.0-85179503105 (Scopus ID)
Conference
49th Annual Conference of the IEEE Industrial Electronics Society (IECON 2023), Singapore, Singapore, October 16-19, 2023
Note

Funder: innish Research Programme on NuclearPower Plant Safety 2018-2022 (SAFIR 2022);

ISBN for host publication: 979-8-3503-3183-7 (print), 979-8-3503-3182-0 (electronic)

Available from: 2024-01-09 Created: 2024-01-09 Last updated: 2024-01-09Bibliographically approved
Ovsiannikova, P., Pakonen, A. & Vyatkin, V. (2023). Automatic generation of repair suggestions for overall I&C architecture represented with an ontology. In: 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation, ETFA: . Paper presented at 28th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2023, Sinaia, Romania, September 12-15, 2023. Institute of Electrical and Electronics Engineers Inc.
Open this publication in new window or tab >>Automatic generation of repair suggestions for overall I&C architecture represented with an ontology
2023 (English)In: 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation, ETFA, Institute of Electrical and Electronics Engineers Inc. , 2023Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc., 2023
Series
IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, ISSN 1946-0740, E-ISSN 1946-0759
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-103303 (URN)10.1109/ETFA54631.2023.10275557 (DOI)2-s2.0-85175447358 (Scopus ID)979-8-3503-3991-8 (ISBN)979-8-3503-3992-5 (ISBN)
Conference
28th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2023, Sinaia, Romania, September 12-15, 2023
Available from: 2023-12-13 Created: 2023-12-13 Last updated: 2023-12-13Bibliographically approved
Yu, G., Nishi, H., Pang, C., Gu, Q., Lin, Y., Liang, J., . . . Vyatkin, V. (2023). Black Soldier Fly Bioconversion System: A Digital Twin Approach. In: 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE): . Paper presented at 32nd IEEE International Symposium on Industrial Electronics (ISIE) 2023, Helsinki, Finland, June 19-21, 2023. IEEE
Open this publication in new window or tab >>Black Soldier Fly Bioconversion System: A Digital Twin Approach
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2023 (English)In: 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE), IEEE, 2023Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IEEE, 2023
National Category
Industrial Biotechnology
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-104013 (URN)10.1109/ISIE51358.2023.10227952 (DOI)2-s2.0-85172135809 (Scopus ID)
Conference
32nd IEEE International Symposium on Industrial Electronics (ISIE) 2023, Helsinki, Finland, June 19-21, 2023
Note

ISBN for host publication: 979-8-3503-9972-1

Available from: 2024-01-30 Created: 2024-01-30 Last updated: 2024-01-30Bibliographically approved
Subramanya, R., Räisänen, P., Sierla, S. & Vyatkin, V. (2023). Cloud Computing Design Patterns for MLOps: Applications to Virtual Power Plants. In: IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society: . Paper presented at 49th Annual Conference of the IEEE Industrial Electronics Society, Singapore, Singapore, October 16-19, 2023. IEEE
Open this publication in new window or tab >>Cloud Computing Design Patterns for MLOps: Applications to Virtual Power Plants
2023 (English)In: IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society, IEEE, 2023Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IEEE, 2023
Series
Proceedings of the Annual Conference of the IEEE Industrial Electronics Society, ISSN 1553-572X, E-ISSN 2577-1647
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-104610 (URN)10.1109/IECON51785.2023.10312212 (DOI)2-s2.0-85179516614 (Scopus ID)979-8-3503-3182-0 (ISBN)979-8-3503-3183-7 (ISBN)
Conference
49th Annual Conference of the IEEE Industrial Electronics Society, Singapore, Singapore, October 16-19, 2023
Note

Funder: Business Finland (grant number 1516/31/2022);

Available from: 2024-03-15 Created: 2024-03-15 Last updated: 2024-03-28Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-9315-9920

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