Abstract:Propagation is a key factor in uncertainty evaluation.A new method with data visualization and numerical analysis for evaluating the uncertainty propagation is proposed.The main procedure is described followed by details in several linear and nonlinear model examples.The results show that data visualization and numerical analysis can be helpful to provide a concise qualitative overview and an accurate quantitative analysis for uncertainty evaluation.
[1] BIPM, ISO, IUPAC, IUPAP and OIML. Guide to the Expression of Uncertainty in Measurement[S]. 2004.
[2] Cox M G, Harris P M. Software Support for Metrology Best Practice Guide No.6: Uncertainty Evaluation[R]. NPL Report MS 6, 2010.
[3] 倪育才.实用测量不确定度评定[M].北京:中国计量出版社,2007,61~93.
[4] 李慎安,等. JJF 1059—1999测量不确定度评定与表示[M]. 北京:中国计量出版社, 1999,13~17.
[5] Ciarlini P, et al. Advanced Mathematical and Computational Tools in Metrology VII[M]. New Jersey:World Scientific Publishing,2006,188-195.
[6] McKinley M D, et al. EVM calculation for broadband modulated signals[C]//6thARFTG Conf, Orlando, 2004:45-52.
[7] 刘勇奎,周晓敏.虚拟现实技术和科学计算可视化[J]中国图象图形学报,2000,5(9):794-798.