六足动物
校准
力矩(物理)
组分(热力学)
蒙特卡罗方法
度量(数据仓库)
灵敏度(控制系统)
计算机科学
测量不确定度
功能(生物学)
模拟
物理
数学
统计
电子工程
工程类
数据挖掘
经典力学
人工智能
热力学
机器人
生物
进化生物学
作者
Jan Nitsche,Sebastian Baumgarten,Marcus Petz,Dirk Röske,Rolf Kumme,Rainer Tutsch
出处
期刊:Metrologia
[IOP Publishing]
日期:2017-02-15
卷期号:54 (2): 171-183
被引量:24
标识
DOI:10.1088/1681-7575/aa5b66
摘要
As a reference measurement machine for multi-component force and moment sensors of up to six components, a hexapod-structured calibration device was developed at the Physikalisch-Technische Bundesanstalt in 2001. The machine can generate and measure forces of up to 10 kN and moments of up to 1 kN · m. In this paper, the measurement uncertainty budget of the machine is analyzed, beginning with an improved physical model and calculation of sensitivity coefficients using the implicit function theorem and the Monte Carlo method. The main influencing factors for the measurement uncertainty are discussed and suggestions for further reduction of the uncertainty are given.
科研通智能强力驱动
Strongly Powered by AbleSci AI