METHODS FOR ASSESSING MEASUREMENT UNCERTAINTY IN TECHNICAL SYSTEMS

Sharonov Pavel Alexandrovich

Carrying out measurements in technical systems often requires solving complex metrological problems, which entail the need to develop high-tech measuring instruments and lead to large additional material costs. As is well known, the measurement process is characterized by inaccuracies and errors associated with the unavoidable presence of a number of factors affecting measurement accuracy. The purpose of the article is to consider approaches to estimating measurement uncertainty in real measurement tasks typical of technical systems. The subject of the research is methods and approaches to checking measurement uncertainty in practice. Scientific novelty: substantiation of ways to reduce measurement inaccuracy in technical systems through the use of adaptive machine learning.

Keywords:measurement, accuracy, technical system, training