
Ð’ данной магиÑтерÑкой работе было предложено решение по проектированию ÑкÑпертной ÑиÑтемы Ð´Ð»Ñ Ð¿Ñ€Ð¾Ñ†ÐµÑÑа печати из Ñтекла поÑредÑтвом лазерной Ñварки. Ð’ теоретичеÑкой чаÑти работы предÑтавлен обзор литературы, ÐºÐ¾Ñ‚Ð¾Ñ€Ð°Ñ Ð¾Ñ…Ð²Ð°Ñ‚Ñ‹Ð²Ð°ÐµÑ‚ ÑущеÑтвующие на рынке реализации ÑкÑпертных ÑиÑтем, обзор методов клаÑтерного анализа, а также разобраны процеÑÑÑ‹ печати поÑредÑтвом лазерной Ñварки Ñ Ð¸Ñпользованием Ñтекла и 3D печати Ñ Ð¸Ñпользованием плаÑтика. Реализован метод клаÑтерного анализа c-means fuzzy clustering и ÑиÑтема логичеÑкого вывода на оÑнове нечеткой логики Ð´Ð»Ñ Ð¾Ñ†ÐµÐ½ÐºÐ¸ качеÑтва производимых компонентов. ÐŸÑ€ÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ð½Ð°Ñ ÑиÑтема реализована на Ñзыке Python Ñ Ð¸Ñпользованием библиотек нечеткой логики. Проведенные ÑкÑперименты доказали доÑтоверноÑть предложенной ÑиÑтемы.
In this master's thesis, a solution to design an expert system for the laser welding printing process was proposed. In theoretical part of this work the review of literature is presented, which covers the existing market of expert systems, the review of cluster analysis methods, as well as the processes of printing by means of laser welding with the use of glass and 3D printing with the use of plastic. The c-means fuzzy clustering method was implemented and a fuzzy logic inference system was proposed to evaluate quality of the produced components. The proposed system is implemented in Python language with the use of fuzzy logic libraries. Experiments proved validity of the system.
ÐенеÑаÑоÑÑ ÐºÐ²Ð°Ð½ÑовÑе, ÑкÑпеÑÑÐ½Ð°Ñ ÑиÑÑема, клаÑÑеÑнÑй анализ, неÑеÑÐºÐ°Ñ Ð»Ð¾Ð³Ð¸ÐºÐ°, лазеÑÐ½Ð°Ñ ÑваÑка, логиÑеÑкий вÑвод, пÑогнозиÑование
ÐенеÑаÑоÑÑ ÐºÐ²Ð°Ð½ÑовÑе, ÑкÑпеÑÑÐ½Ð°Ñ ÑиÑÑема, клаÑÑеÑнÑй анализ, неÑеÑÐºÐ°Ñ Ð»Ð¾Ð³Ð¸ÐºÐ°, лазеÑÐ½Ð°Ñ ÑваÑка, логиÑеÑкий вÑвод, пÑогнозиÑование
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