Zobrazeno 1 - 10
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pro vyhledávání: '"Gerardo Santillan Martinez"'
Autor:
Gerardo Santillan Martinez, Tommi A. Karhela, Reino J. Ruusu, Seppo A. Sierla, Valeriy Vyatkin
Publikováno v:
IEEE Access, Vol 6, Pp 15391-15407 (2018)
A tracking simulator is a decision support application in which dynamic estimation is used to continuously align the results of an online first principle simulation model with the measurements of the targeted plant. They are a holistic application wh
Externí odkaz:
https://doaj.org/article/68a12f8eaf6a4fe3b374fdba4ca6979c
Autor:
Gerardo Santillan Martinez, Seppo A. Sierla, Tommi A. Karhela, Jari Lappalainen, Valeriy Vyatkin
Publikováno v:
IEEE Access, Vol 6, Pp 45217-45232 (2018)
Dynamic thermal-hydraulic simulation models have been extensively used by process industry for decision support in sectors, such as power generation, mineral processing, pulp and paper, and oil and gas. Ever-growing competitiveness in the process ind
Externí odkaz:
https://doaj.org/article/f5fe42aa5fae4dd692fa75d87f1f3754
Industrial cyber-physical systems require complex distributed software to orchestrate many heterogeneous mechatronic components and control multiple physical processes. Industrial automation software is typically developed in a model-driven fashion w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::219a1593f927bd5775acf9e04a472bc3
http://arxiv.org/abs/2108.07400
http://arxiv.org/abs/2108.07400
Publikováno v:
IEEE Access, Vol 6, Pp 45217-45232 (2018)
Santillán Martínez, G, Sierla, S, Karhela, T, Lappalainen, J & Vyatkin, V 2018, ' Automatic Generation of a High-Fidelity Dynamic Thermal-hydraulic Process Simulation Model from a 3D Plant Model ', IEEE Access, vol. 6, 8434288, pp. 45217-45232 . https://doi.org/10.1109/ACCESS.2018.2865206
Santillán Martínez, G, Sierla, S, Karhela, T, Lappalainen, J & Vyatkin, V 2018, ' Automatic Generation of a High-Fidelity Dynamic Thermal-hydraulic Process Simulation Model from a 3D Plant Model ', IEEE Access, vol. 6, 8434288, pp. 45217-45232 . https://doi.org/10.1109/ACCESS.2018.2865206
Dynamic thermal-hydraulic simulation models have been extensively used by process industry for decision support in sectors such as power generation, mineral processing, pulp and paper, and oil and gas. Ever-growing competitiveness in the process indu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31b95fe18a25c38a19faf5fee782c1fa
http://juuli.fi/Record/0333048618
http://juuli.fi/Record/0333048618
Publikováno v:
at - Automatisierungstechnik. 64:216-230
Industrial cyber-physical systems require complex software to orchestrate heterogeneous mechatronic components and control physical processes. This software is typically developed and refined iteratively in a model-driven fashion. Testing such multi-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d3eb1b776fdb07c341e6a4779e63097
https://doi.org/10.1515/auto-2015-0075
https://doi.org/10.1515/auto-2015-0075
Publikováno v:
IECON
A Digital Twin (DT) of a production plant is a digital replica of the plant’s physical assets which contains the structure and the dynamics of how the devices and process operate. Simulation-based DTs (SBDTs) are those based on online first princip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e045d29e1fdf46269aa86ff9c33798d7
https://aaltodoc.aalto.fi/handle/123456789/36321
https://aaltodoc.aalto.fi/handle/123456789/36321
Publikováno v:
IECON
Ruusu, R, Santillán Martínez, G, Karhela, T & Vyatkin, V 2017, Sliding mode SISO control of model parameters for implicit dynamic feedback estimation of industrial tracking simulation systems . in IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society . IEEE Institute of Electrical and Electronic Engineers, pp. 6927-6932, 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017, Beijing, China, 29/10/17 . https://doi.org/10.1109/IECON.2017.8217211
Ruusu, R, Santillán Martínez, G, Karhela, T & Vyatkin, V 2017, Sliding mode SISO control of model parameters for implicit dynamic feedback estimation of industrial tracking simulation systems . in IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society . IEEE Institute of Electrical and Electronic Engineers, pp. 6927-6932, 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017, Beijing, China, 29/10/17 . https://doi.org/10.1109/IECON.2017.8217211
A tracking simulator is an online simulation system that achieves a permanent state synchronization with the targeted process by dynamically calibrating the model state after comparing process measurements with model results. Tracking simulators are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::016df91a6b56b046b968cefe301ccdf2
https://doi.org/10.1109/iecon.2017.8217211
https://doi.org/10.1109/iecon.2017.8217211
Publikováno v:
IECON
Santillán Martínez, G, Karhela, T, Ruusu, R, Lackman, T & Vyatkin, V 2017, Towards a systematic path for dynamic simulation to plant operation : OPC UA-enabled model adaptation method for tracking simulation . in Proceedings IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society . vol. 2017-January, IEEE Institute of Electrical and Electronic Engineers, pp. 5503-5508, 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017, Beijing, China, 29/10/17 . https://doi.org/10.1109/IECON.2017.8216952
Santillán Martínez, G, Karhela, T, Ruusu, R, Lackman, T & Vyatkin, V 2017, Towards a systematic path for dynamic simulation to plant operation : OPC UA-enabled model adaptation method for tracking simulation . in Proceedings IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society . vol. 2017-January, IEEE Institute of Electrical and Electronic Engineers, pp. 5503-5508, 43rd Annual Conference of the IEEE Industrial Electronics Society, IECON 2017, Beijing, China, 29/10/17 . https://doi.org/10.1109/IECON.2017.8216952
A tracking simulator is an online simulation system that utilizes dynamic parameter estimation for calibrating model parameters to achieve state synchronization with the process. It can be utilized as a plant-wide virtual sensors or as a predictive t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d5503b81156c626f34bd81f74d4c3b9
https://doi.org/10.1109/IECON.2017.8216952
https://doi.org/10.1109/IECON.2017.8216952
Autor:
Jouni Savolainen, Antti Aikala, Valeriy Vyatkin, Kalle Kondelin, Gerardo Santillan Martinez, Tuomas Miettinen, Tommi Karhela
Publikováno v:
INDIN
Santillán Martínez, G, Miettinen, T, Aikala, A, Savolainen, J, Kondelin, K, Karhela, T & Vyatkin, V 2016, Parameters selection in predictive online simulation . in 2016 IEEE 14th International Conference on Industrial Informatics (INDIN) . IEEE Institute of Electrical and Electronic Engineers, pp. 726-729 . https://doi.org/10.1109/INDIN.2016.7819254
Santillán Martínez, G, Miettinen, T, Aikala, A, Savolainen, J, Kondelin, K, Karhela, T & Vyatkin, V 2016, Parameters selection in predictive online simulation . in 2016 IEEE 14th International Conference on Industrial Informatics (INDIN) . IEEE Institute of Electrical and Electronic Engineers, pp. 726-729 . https://doi.org/10.1109/INDIN.2016.7819254
Industrial applications with reliable predictive features are becoming increasingly important. A tracking simulator is an example of an online simulation system with great capabilities that fills the gap left by other predictive applications. In a tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84ffc753df515b9fd30ddee9cb32752b
https://doi.org/10.1109/indin.2016.7819254
https://doi.org/10.1109/indin.2016.7819254
Autor:
Tommi Karhela, Gerardo Santillan Martinez, Ahti Rossi, Valeriy Vyatkin, Cheng Pang, Hannu Niemistö
Publikováno v:
Santillan Martinez, G, Karhela, T, Niemistö, H, Rossi, A, Cheng, P & Vyatkin, V 2015, A hybrid approach for the initialization of tracking simulation systems . in Emerging Technologies & Factory Automation (ETFA), 2015 IEEE 20th Conference on . IEEE Institute of Electrical and Electronic Engineers, pp. 1-8, IEEE 20th Conference on Emerging Technologies & Factory Automation, Luxembourg, France, 8/09/15 . https://doi.org/10.1109/ETFA.2015.7301532
ETFA
ETFA
In the online and tracking simulation context, precise model initialization is highly important to ensure the quality of predictions made based on simulation. This paper presents a hybrid approach for the initialization of tracking simulation systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7b9542bb11499bcff1542c2cb33b984
https://cris.vtt.fi/en/publications/fe0b3ca5-0d3f-49f6-81d1-a8440b86deb7
https://cris.vtt.fi/en/publications/fe0b3ca5-0d3f-49f6-81d1-a8440b86deb7