Measurement Uncertainty Estimation for Electromagnetism Devices and Equipment Using Extreme Fisher Information
Measurement Uncertainty Estimation for Electromagnetism Devices and Equipment Using Extreme Fisher Information
复制标题
使用极端费希尔信息估计电磁装置和设备的测量不确定度
DOI：
10.1109/tasc.2016.2610723
复制
发表时间：
2016-10
影响因子：
1.8
通讯作者：
Xie Yongle
中科院分区：
文献类型：
--
作者：
Xie Xuan;Xie Yongle
In electromagnetism devices and equipment measurement activities, it is hard to identify and compensate every effect in measurement and evaluate the incompleteness of the measurement results accurately and efficiently. In this paper, we employ the probability density functions (PDFs) derived from the extreme Fisher information (EFI) method in the view of information theory for estimating the measurement uncertainty of the measurement result. By considering the physical essence of EFI, a differential equation model is established for the measurement practice and the explicit form of the solution PDF corresponding to EFI is given, which guarantees the dynamics and the practicability of the estimation of the measurement uncertainty (MU). The obtained the PDF can describe the combined performance of the system and all the measurement effects, then, with the PDF and the confidence, MU can be estimated more dynamically and efficiently. The effectiveness of the proposed EFI method is demonstrated by the numerical results of two practical instances.
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影响因子：
5.4
作者：
Jiangfan Zhang;Rick S. Blum;Xuanxuan Lu;Daniel Conus
通讯作者：
Jiangfan Zhang;Rick S. Blum;Xuanxuan Lu;Daniel Conus
影响因子：
7.3
作者：
Ronald H. Dieck
通讯作者：
Ronald H. Dieck
DOI：
10.1109/imtc.2004.1351035
发表时间：
2004-05
期刊：
Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.04CH37510)
影响因子：
--
作者：
Gabriele D'Antona
通讯作者：
Gabriele D'Antona
影响因子：
5.4
作者：
S. Collier
通讯作者：
S. Collier
DOI：
10.1109/ciss.2015.7086862
发表时间：
2015-03
期刊：
2015 49th Annual Conference on Information Sciences and Systems (CISS)
影响因子：
--
作者：
Shenghan Guo
通讯作者：
Shenghan Guo