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Uncertainty Evaluation Method of Electric Field Probe Based on Bayesian Principle

机译:基于贝叶斯原理的电场探头不确定度评估方法

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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.
机译:在电场强度的校准和检测中,评估电场探头的不确定度对表征结果的可靠性的重要性是不言而喻的。目前,对电场探头的不确定度的评估主要采用《测量不确定度表示指南》(GUM)中的方法B,并且该方法未使用任何校准或实验数据,从而导致数据浪费。并且不能满足不同的要求。基于贝叶斯理论的条件下不确定性评估建议,GTEM(千兆赫横向电磁)单元的测量结果具有先验信息,评估方法在信息不确定之前可以满足不同条件下的不同需求。与GUM方法相比,证明了贝叶斯原理可以更好地评估不同条件下GTEM电池中电场探针的不确定性,并且具有较高的可信度。

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