Методологія нелінійного робастного оцінювання для синтезу розв’язків обернених та прямих багатодисциплінарних задач у розрахунку інженерних розмірних ланцюгів на основі дискретних даних про аналоги
This paper analyses the definition of inverse and direct problems in engineering dimensional chains calculation based on discrete analogue data and the methodologies for solving these problems. It is shown that the direct dimensional chains calculation, which belongs to the class of inverse boundary...
Збережено в:
Дата: | 2020 |
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Автори: | , , , , , , , |
Формат: | Стаття |
Мова: | English |
Опубліковано: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2020
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Теми: | |
Онлайн доступ: | http://journal.iasa.kpi.ua/article/view/218011 |
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Назва журналу: | System research and information technologies |
Репозитарії
System research and information technologiesРезюме: | This paper analyses the definition of inverse and direct problems in engineering dimensional chains calculation based on discrete analogue data and the methodologies for solving these problems. It is shown that the direct dimensional chains calculation, which belongs to the class of inverse boundary value problems in a stochastic formulation, can be transformed into multi-criteria problems of stochastic optimization with mixed conditions. The new multi-step solutions search methodology for these problems is based on non-linear robust estimation methods. It can be achieved through hierarchical two-level decisions synthesis scheme development. At the first step, this scheme includes identification of surrogate models (in the form of regression equations). At the second step, the effective robust estimates are computed to determine unknown values; estimations of unknown quantities are carried out under a priori and parametric data uncertainties. Results of calculations of inverse and direct problems in engineering dimensional chains for two-stage axial compressors are presented. They were obtained using interactive computer systems for decision-making support “ROD&IDS”. |
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