Development and research of intelligent system for analysis of random characteristics of stochastic processes of mechanical quantities
At the present stage of development of measurement systems it is particularly acutely the need of total computerization of the measurements. This understanding was the impetus for the functionality development of measuring devices and the development of intelligent measuring systems (IMS) of new generation. Therefore, one of the most important areas of measuring systems is their intellectualization that enables to determine their purposeful behavior (algorithm operation) depending on changes in their conditions of work and required accuracy of measurements. Within this article the research and development of IMS required accuracy for analysis of stochastic characteristics of random processes of mechanical quantities and publishing guidelines for their implementation. As a methodological basis of solving this problem it is used a comprehensive approach to determining IMS errors. The article shows the understanding that IMS let select the best algorithm for measuring the stochastic characteristics of the measurement results and accompanying assessment of their errors. This event is realized by using an integrated approach to the definition of statistical errors of measurements of mechanical variables. Theoretical analysis and experimental verification of these results showed that a comprehensive approach to the definition of statistical error of measurement allows, first of all, get a scientifically based assessment of the accuracy and reliability of measurement results. The article shows that the synthesized algorithms allow for the same length of implementation to reduce measurement error in 2-4 times in comparison with known algorithms. Conversely, at constant measurement accuracy by the same factor can reduce the length of implementation.