Analysis of the influence of external factors on the accuracy and reliability of measurements of low-intensity electric fields using an information-measurement system

Abstract

This study focuses on developing and validating an information-measurement system for low-intensity electric fields. It examines the impact of external factors such as temperature, humidity, and mechanical stress on measurement accuracy and reliability. Advanced experiment planning using Sobol’s LPτ-sequences enabled precise data collection with an atomic force microscope sensor. Regression models were built and statistically validated to predict field characteristics under varying environmental conditions. The results demonstrate high measurement stability and metrological compatibility, highlighting the system’s potential for industrial and educational applications