The dynamic measurement uncertainty evaluation on coal mine pump performance testing systems

2012 ◽  
Vol 9 (2) ◽  
pp. 151-154
Author(s):  
G. Wang ◽  
X. Xie ◽  
S. Jiao ◽  
L. Zhang ◽  
Q. Niu
Keyword(s):  
Measurement Uncertainty ◽  
Coal Mine ◽  
Performance Testing ◽  
Dynamic Measurement ◽  
Uncertainty Evaluation ◽  
Pump Performance ◽  
Measurement Uncertainty Evaluation

Research on Measurement Uncertainty Evaluation Methods Based on Bayesian Principle

2008 ◽  
Vol 381-382 ◽  
pp. 583-586
Author(s):  
Xiao Huai Chen ◽  
Z.Y. Cheng ◽  
Ye Tai Fei
Keyword(s):  
Measurement Uncertainty ◽  
Evaluation Method ◽  
Dynamic Measurement ◽  
Uncertainty Evaluation ◽  
Small Samples ◽  
Current Application ◽  
Dynamic Data ◽  
Dynamic Uncertainty ◽  
Method Of Measurement ◽  
Measurement Uncertainty Evaluation

In current application of measurement uncertainty evaluation, dynamic uncertainty evaluation simply uses the static uncertainty methods. To change the situation, a new evaluation method of measurement uncertainty is investigated based on Bayesian principle in this paper. Bayesian evaluation method uses conjugate normal-inverted gamma distribution as the distribution function in uncertainty evaluation, which can be employed to evaluate both static and dynamic measurement uncertainty. The evaluation method put forward in this paper can achieve higher evaluation accuracy than the conventional methods, particularly in processing dynamic data with small samples. It has been proved in theory and by computer simulation.

Measurement uncertainty evaluation of conicity error inspected on CMM

2015 ◽  
Vol 29 (1) ◽  
pp. 212-218 ◽  
Author(s):  
Dongxia Wang ◽  
Aiguo Song ◽  
Xiulan Wen ◽  
Youxiong Xu ◽  
Guifang Qiao
Keyword(s):  
Measurement Uncertainty ◽  
Uncertainty Evaluation ◽  
Measurement Uncertainty Evaluation
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