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Publications (10 of 409) Show all publications
Cheng, H., He, Y., Zeng, P. & Vyatkin, V. (2024). Residual-Enhanced Physic-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 Physic-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
Mathematics 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

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: 2024-02-19
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.
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: Article in journal (Refereed) Submitted
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-103539 (URN)
Available from: 2024-01-09 Created: 2024-01-09 Last updated: 2024-01-09
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
Kolesnikov, M. V., Atmojo, U. D. & Vyatkin, V. (2023). Data-Driven Human Factors Enabled Digital Twin. 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 >>Data-Driven Human Factors Enabled Digital Twin
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]

This paper presents a methodology for increasing human-centric production systems flexibility using human factors-enabled digital twins. The paper includes an analysis of the relevant projects that incorporate human-related data collection and processing. The proposed system is capable of collecting human factors-related data from various sources and then use a decision-making algorithm to schedule the tasks according to assessed human operator conditions in real-time. The formed Digital Twin is able to depict the condition of the labourer and production system status in real-time using Visual Components simulation environment. Shown results prove that existing production systems are capable of adapting to the changing condition of the worker flexibly, optimising workflow, distributing tasks with AGVs and cobots, and applying changes in workplace ergonomics to achieve better safety and performance of the worker.

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
Digital Twin, Human-centric production, Industry 5.0
National Category
Production Engineering, Human Work Science and Ergonomics Robotics
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-103550 (URN)10.1109/IECON51785.2023.10311802 (DOI)2-s2.0-85179520488 (Scopus ID)
Conference
49th Annual Conference of the IEEE Industrial Electronics Society (IECON 2023), Singapore, Singapore, October 16-19, 2023
Note

Funder: Horizon Europe research and innovation programme (101057083);

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
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-9315-9920

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