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Назва: Problem-Oriented Modelling for Biomedical Engineering Systems
Автори: Полянський, Павло Миколайович
Polyansky, Pavlo
Kernytskyy, Ivan
Hlinenko, Larysa
Yakovenko, Yevheniia
Horbay, Orest
Koda, Eugeniusz
Rusakov, Konstantin
Yankiv, Volodymyr
Humenuyk, Ruslan
Berezovetskyi, Serhii
Kalenik, Marek
Szlachetka, Olga
Ключові слова: inventive problem solving
problem-oriented models
structural synthesis of technical systems
TRIZ
Engineering: General Engineering
Physics and Astronomy: Instrumentation
Computer Science: Computer Science Applications
Chemical Engineering: Fluid Flow and Transfer Processes
Materials Science: General Materials Science
Chemical Engineering: Process Chemistry and Technology
Дата публікації: 2022
Бібліографічний опис: Kernytskyy, I., Hlinenko, L., Yakovenko, Y., Horbay, O., Koda, E., Rusakov, K., . . . Szlachetka, O. (2022). Problem-oriented modelling for biomedical engineering systems. Applied Sciences (Switzerland), 12(15) doi:10.3390/app12157466
Короткий огляд (реферат): Technical system (TS) models are widely used for setting and solving problems for the improvement of biomedical engineering systems beyond simple parameter optimisation. They mostly focus on system elements, the change or replacement of which can provide significant technical and economic benefits. The natures of TS models and their methods of construction vary, but they all share several common features: a functional approach, a focus on the conflicting demands put on the particular elements of a system or their interactions, and the construction of models that assume the significance of those conflicts. Thus, modelling aims to visualise conflicts in a way that facilitates the setting and solving of tasks that lead to their elimination. Such modelling can be termed problem-oriented. Results of the analysis of problem-oriented models proposed by different authors have shown that they model the structure of problem functions or the structure of the TS fragments responsible for such functions. A graphic representation of these models allows for the comparison and identification of opportunities for further development and aggregation. In this paper, the joint application of several known and proposed models is suggested for efficient forecasting of biomedical engineering systems and their modernisation.
URI (Уніфікований ідентифікатор ресурсу): https://dspace.mnau.edu.ua/jspui/handle/123456789/11992
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Публікації науково-педагогічних працівників МНАУ у БД Web of Science
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