Assessment of the Indirect Measurement Uncertainty

Application of Monte Carlo Method in the Measurement Uncertainty Estimation Technology in next Generation of GPS

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.48-49.253 ◽

2011 ◽

Vol 48-49 ◽

pp. 253-256

Author(s):

Ya Zhang ◽

Chun Yang Jia

Keyword(s):

Monte Carlo ◽

Monte Carlo Method ◽

Measurement Uncertainty ◽

Cone Angle ◽

Transfer Characteristic ◽

Simulation Method ◽

Indirect Measurement ◽

Uncertainty Estimation ◽

Experimental Result ◽

Next Generation

Next generation of Geometrical Product Specifications (GPS) is the foundation of the technology standards and metrology specifications of mechanical and electric products. GPS estimation of measurement uncertainty can improve the reliability of the verification result. In the indirect measurement, the transfer characteristic is very complex. So, it is very difficult to estimate the uncertainty in the indirect measurements according to the transfer formula given by GUM. For the indirect measuring of an inside cone angle, the mathematical relation between the measurand and measurement results is established firstly. Then Monte Carlo method was adopted to conduct the sampling and synthesis of measurement uncertainty contributors. At last, the measurement method was evaluated and improved according to Procedure for Uncertainty Management. Experimental result shows that Monte Carlo Simulation method has a good application foreground in the uncertainty estimation and measurement program design.

Download Full-text

Approach for the evaluation of indirect measurement uncertainty based on neural networks

10.1117/12.521825 ◽

2003 ◽

Author(s):

Jianmin Zhu ◽

Zhongyu Wang ◽

Xintao Xia ◽

Ping Li

Keyword(s):

Neural Networks ◽

Measurement Uncertainty ◽

Indirect Measurement

Download Full-text

Comparison of the Monte Carlo and guide to uncertainty in measurement methods in estimating measurement uncertainty: Indirect measurement of the CaMV35S promoter in mixed samples of genetically modified soybean

Food Control ◽

10.1016/j.foodcont.2018.02.010 ◽

2018 ◽

Vol 90 ◽

pp. 131-139 ◽

Cited By ~ 1

Author(s):

Jun Song ◽

Bei Niu ◽

Dong Wang ◽

Fuli Zhang

Keyword(s):

Monte Carlo ◽

Measurement Uncertainty ◽

Genetically Modified ◽

Indirect Measurement ◽

Measurement Methods ◽

Genetically Modified Soybean ◽

Camv35s Promoter ◽

Uncertainty In Measurement ◽

Mixed Samples

Download Full-text

National primary standard machine of Shore D hardness scale for metals and Leeb hardness scales

Izmeritel`naya Tekhnika ◽

10.32446/0368-1025it.2020-2-6-10 ◽

2020 ◽

pp. 6-10

Author(s):

A.E. Aslanyan ◽

E.G. Aslanyan ◽

S.M. Gavrilkin ◽

A.S. Doynikov ◽

A.N. Shchipunov

Keyword(s):

Measurement Uncertainty ◽

Primary Standard ◽

Metrological Characteristics ◽

National Primary Standard ◽

Hardness Scale ◽

Leeb Hardness

The article presents the results of studies to improve the National primary standard machine for hardness of metals on the shore D scale GET 161-2001, which were performed in FSUE “VNIIFTRI” from 2016 to 2018 in accordance with the technical task of Rosstandart.The improvement was carried out in order to ensure the uniformity of hardness measurements on the Leeb scales. The created new parts of the primary standard machine, which are settings for reproducing hardness numbers on the Leeb scales, are considered. Metrological characteristics of the upgraded and adopted National primary standard machine (GET 161-2019) were investigated, the budget of measurement uncertainty was calculated for reproducing hardness numbers on the Leeb scales.

Download Full-text

Use of vent stack temperature as a feedforward variable for dissolver total titratable alkali (TTA) control

TAPPI Journal ◽

10.32964/tj17.05.261 ◽

2018 ◽

Vol 17 (05) ◽

pp. 261-269

Author(s):

Wei Ren ◽

Brennan Dubord ◽

Jason Johnson ◽

Bruce Allison

Keyword(s):

Feedback Control ◽

Current Practice ◽

Feedforward Control ◽

Control Variable ◽

Indirect Measurement ◽

Tight Control ◽

Transfer Lines ◽

Green Liquor ◽

Process Dynamics ◽

Downstream Processes

Tight control of raw green liquor total titratable alkali (TTA) may be considered an important first step towards improving the overall economic performance of the causticizing process. Dissolving tank control is made difficult by the fact that the unknown smelt flow is highly variable and subject to runoff. High TTA variability negatively impacts operational costs through increased scaling in the dissolver and transfer lines, increased deadload in the liquor cycle, under- and over-liming, increased energy consumption, and increased maintenance. Current practice is to use feedback control to regulate the TTA to a target value through manipulation of weak wash flow while simultaneously keeping dissolver density within acceptable limits. Unfortunately, the amount of variability reduction that can be achieved by feedback control alone is fundamentally limited by the process dynamics. One way to improve upon the situation would be to measure the smelt flow and use it as a feedforward control variable. Direct measurement of smelt flow is not yet possible. The use of an indirect measurement, the dissolver vent stack temperature, is investigated in this paper as a surrogate feedforward variable for dissolving tank TTA control. Mill trials indicate that significant variability reduction in the raw green liquor TTA is possible and that the control improvements carry through to the downstream processes.

Download Full-text