Кафедри
Постійне посилання на розділhttps://repository.kpi.kharkov.ua/handle/KhPI-Press/35393
Переглянути
3 результатів
Результати пошуку
Документ Дослідження можливостей використання апарата fuzzy-logic при вимірюванні та класифікації дефектів металевих труб(Національний науковий центр "Інститут метрології", 2017) Григоренко, Ігор Володимирович; Григоренко, Світлана Миколаївна; Гавриленко, Світлана ЮріївнаРозглянуто методи вирішення науково-практичного завдання класифікації дефектів металевих труб нафто- та газопроводів завдяки апарату нечіткої логіки fuzzy-logic. Задача класифікації дефектів вирішувалась двома апаратами нечіткої логіки, а саме алгоритмом нечіткого логічного виводу Мамдані і нечіткої бази знань Сугено. Проведено комп'ютерне моделювання, яке підтвердило можливість використання обох алгоритмів для вирішення завдання класифікації дефектів металевих труб. За допомогою графічного інтерфейсу користувача побудовано систему з нечіткою логікою, яка надала можливість установлення типу дефекту металевих труб на основі даних, отриманих при математичному моделюванні дефектів з різними параметрами, за допомогою методу кінцевих елементів.Документ Substantiation of the choice of methods of non-destructive testing of elements of energy equipment using a fuzzy logic apparatus(Національний технічний університет "Харківський політехнічний інститут", 2020) Hryhorenko, Ihor; Hryhorenko, Svіtlana; Ovcharenko, MykolaThe paper illustrates the solution of the problem of choosing methods of quality control of manufacturing parts and assemblies of power equipment using a fuzzy logic device. The main methods of non-destructive testing for the detection of surface and internal defects are considered, as well as the main indicators of quality of metal products. The types of metal defects and welded joints are inspected. The description of the equipment and means of control for detection of defects is executed. The sequence and methods of quality control by ultrasonic, capillary and magnetic powder methods of control are described in detail. The results of quality control of partsduring production and during their operation are obtained. The analysis of the revealed defects is carried out. An example of using an integrated approach to control is given. The obtained results of control of the percentage of coincidence of detection of defects on the product are analyzed. Comprehensive quality control was performed by visual, ultrasonic, capillary and magnetic powder methods of non-destructive testing to determine the percentage of coincidences of defects. By creating a heuristic analyzer based on the interface of the fuzzy logic system Fuzzy Logic Toolbox of the Matlab program, an example of determining a combination of non-destructive testing methods for quality control of a steam turbine bearing liner is considered. Computer simulation according to the Mamdani algorithm is carried out, which consists of fazzification with determination of ranges of change of input values for each example, task of distribution functions for each input parameter; calculation of rules based on the adequacy of the model; defuzzification with the transition from linguistic terms to quantitative assessment and graphical construction of the response surface. The simulation made it possible to determine the optimal combination of non-destructive testing methods, which provides the highest quality of defect detection in the steam turbine bearing liner.Документ Application of user interface Fuzzy Logic Toolbox for quality control of products and services(Національний технічний університет "Харківський політехнічний інститут", 2019) Hrihorenko, Igor; Drozdova, Tatyana; Hrihorenko, Svetlana; Tverytnykova, ElenaIn this work, the solution for the quality control of products and services is illustrated for the first time on examples of wine production and the provision of educational services in the university by creating a heuristic analyzer based on the Fuzzy Logic Toolbox interface of the Matlab program. There were also considered the problems of constructing quality control models with fuzzy logic for solving problems arising in cases when it is not possible to use classical statistical methods. The factors influencing the quality of products, in particular wine, and services on the example of providing education are analyzed, the possibility of using the fuzzy logic apparatus for determining the weight contribution of factors that ensure maximum quality is proved. Computer simulation using the Mamdani algorithm is performed, which consists of fuzzification with the definition of ranges of change of input values for each example, assigning the distribution functions for each input parameter; calculation of the rules, based on the adequacy of the model; defuzzification with the transition from linguistic terms to quantitative evaluation; graphical construction of the response surface using a centroid method with determination of the center of gravity of the response surface. The modeling has confirmed that the creation of a heuristic analyzer for determining the quality of wine and the quality of education is appropriate and necessary for preventing the production of substandard products and theprovision of substandard services.