METHODOLOGY FOR ASSESSING THE ACCURACY OF INFORMATION AND MEASURING SYSTEMS BLOCKS BASED ON ANALYTICAL-PROBALIBAL FORECASTING

Abstract

The article presents a methodology for assessing the accuracy of blocks of information and measuring systems (IMS) based on analytical and probabilistic forecasting. The processes occurring in the functional blocks of analog-to-digital converters are considered, and it is established that they are stochastic in nature and can lead to metrological failures over time. To minimize such phenomena, the use of phenomenological models is proposed, which allow describing changes in metrological characteristics and the resource state of the system. Based on the analysis of modern approaches, three main forecasting methods are distinguished - analytical, statistical and probabilistic - and the expediency of combining them to increase the reliability of forecasts is substantiated. A mathematical apparatus for analytical and probabilistic forecasting is proposed, which takes into account the change in the parameters of the distribution of random processes over time and allows determining the probability of maintaining the operability of measuring blocks. The developed methodology contributes to increasing the accuracy of assessing the state of the IMS, optimizing technical control processes and ensuring metrological reliability of software-defined measuring platforms.