Uncertainty Evaluation Method of Electric Field Probe Based on Bayesian Principle

作者：Jinfei Qin, Qi Zhu, Wei Zhou, Xue Li, Cai Bingbing · 年份：2019 · DOI：10.1109/icris.2019.00125 · 被引用次数：1 · 研究领域：Software Reliability and Analysis Research、Distributed Sensor Networks and Detection Algorithms、Reliability and Maintenance Optimization

In the calibration and detection of electric field strength, the importance of evaluating the uncertainty of the electric field probe to the reliability of the characterization results is self-evident. At present, the evaluation of the uncertainty of the electric field probe mainly adopts the method B of the Guide to the Expression of Uncertainty in Measurement (GUM), and no calibration or experimental data is used for this method, which results in waste of data and cannot satisfy different requirements. Uncertainty evaluation under conditions, based on Bayesian theory, proposes that the measurement results of the GTEM (Gigahertz Transverse Electromagnetic) cell have prior information and the evaluation method without uncertainty prior to the information to meet the different Needs under conditions. Comparing with GUM method, it is verified that Bayesian principle can be used to better evaluate the uncertainty of electric field probe under different conditions in GTEM cell, and has higher credibility.