Nikitenko O. Informational technology of data acquisition subsystems optimization of CAM in the context of combined uncertainty

Thesis is devoted to task solution of informational technology of CAM (computer-aided manufacturing) data acquisition subsystems’ structure optimization with the purpose to improve their efficiency in the context of combined uncertainty. An object of research is the process of data collection in automated process control. The purpose of work is to improve data collection subsystems based on the development of information technology to optimize their structure in context of combined uncertainty. The theory of algorithms, theories of probability, fuzzy logic and functional analysis. have been used during conducting of researches. As a result of the studies were developed theoretical position for optimizing the structure of data collection subsystems in context of combined uncertainty: a method of modeling systems in context of uncertainty, improved method of characteristic estimation of data acquisition subsystems in the context of uncertainty, a new approach to structural transformation schemes subsystems for data collection, which based on the concept of equivalent transformation of the algorithmic model. Developed algorithms and methodologies of informational technologies have been implemented in the form of software which develops possibilities of the existing systems of CAM modeling, analysis and projecting. Degree of introduction is within the limits of industry. A sphere of the use includes enterprises and establishments, engaged in development and exploitation of data collection subsystems, including the companies of "Vintar" and "Viscount”.