Evaluation of planar inclination error measurement uncertainty

被引：0
|
作者：
Zhang K. [1 ]
Cheng G. [1 ]
Liu S. [1 ]
机构：
[1] School of Mechanical Engineering, Shanghai Institute of Technology, Shanghai City
来源：
International Journal of Wireless and Mobile Computing | 2020年 / 19卷 / 01期
关键词：
GUMM; Inclination error; IPSO algorithm; MCM; Monte Carlo method; Uncertainty analysis;
D O I：
10.1504/IJWMC.2020.109263
中图分类号：
学科分类号：
摘要：
In order to realise the uncertainty evaluation of the inclination error, error evaluation method and uncertainty of the inclination were investigated based on the Coordinate Measuring Machine (CMM). First, measured line and datum line were measured. Then, the inclination error was evaluated according to an improved Particle Swarm Optimisation (IPSO) algorithm. Finally, based on the results of the inclination error, the uncertainty was evaluated by applying the GUM method (GUMM) and Monte Carlo method (MCM). The results show the IPSO optimisation algorithm and MCM does provide better accuracy and efficiency on inclination errors and uncertainty evaluation. © 2020 Inderscience Enterprises Ltd.. All rights reserved.
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页码：48 / 54
页数：6
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