Кафедри
Постійне посилання на розділhttps://repository.kpi.kharkov.ua/handle/KhPI-Press/35393
Переглянути
2 результатів
Результати пошуку
Документ Dispersion analysis in colorimetric control(Національний науковий центр "Інститут метрології", 2023) Yefymenko, Sergіy Andrіyovich; Hryhorenko, Ihor; Hryhorenko, SvіtlanaIn the paper, solutions to the scientific and practical task of applying covariance analysis to determine the factor influence on the functional transformation of the control parameter in colorimetric research are considered. The research involves determining the factor influence on the additive and multiplicative components of the measurement error of the colorimetric control parameter to assess the reliability of conclusions about the factor influence on the transformation of the control parameter. Limits on the amount of the main level (control parameter) and factors affecting the result of colorimetric control are determined. During the study, the equations to assess the reliability of statistical conclusions about the informational significance of indicators of colorimetric control for a simplified model of cross-classification were obtained. The need to carry out the research is related to the fact that during colorimetric control of grain crops, the uncertainty of the measurement results of the values of the controlled indicators is large enough, and so it must be evaluated. However, the proposed approach is not limited to a few colorimetric controls, but can be extended to a wider range of problems, where it is necessary to consider the factor influence with further ranking of factors by levels of significance.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.