scholarly journals Absolute and Relative Error Control in Composite Interpolatory Quadrature: the CIRQUE Algorithm

2011 ◽  
Vol 3 (3) ◽  
Author(s):  
Justin Steven Prentice
Keyword(s):  
Relative Error ◽  
Error Control ◽  
Interpolatory Quadrature

Modeling and Control of the Precision for the Building Energy Consumption Monitoring System

2012 ◽  
Vol 193-194 ◽  
pp. 66-71
Author(s):  
Liang Zhao ◽  
Ji Li Zhang ◽  
Ruo Bing Liang ◽  
Yong Pan Chen
Keyword(s):  
Energy Consumption ◽  
Error Analysis ◽  
Energy Conservation ◽  
Relative Error ◽  
Temperature Difference ◽  
Error Control ◽  
Building Energy ◽  
Study Data ◽  
Maximum Relative Error ◽  
Heat Meter

Building energy conservation has become to be one of the major tasks of promoting energy conservation and raise the efficiency of energy consumption. Meters are the source of data, it is important to study data precision model based on the accuracy of the error analysis method. This paper firstly introduces error analysis, error distribution and error control theory, then take electric and heat meters for example to describe the error analysis and error distribute methods. The results show that when the precision level of voltage is 0.2, current is 0.2 and power factor is 0.5, the maximum relative error of electrical quantity can be controlled less than 1%, meet the requirement of measurement. The total relative error of heat meter is inverse proportion with temperature difference of sensor and water flow, and when the temperature difference remains unchanged, the error of heat meter trends to main steady if the instant flow of water more than half of the normal flow value.

Application of pyrometer and standard sample to determine surface temperature of studied materials

2019 ◽  
pp. 9-13
Author(s):  
V.Ya. Mendeleyev ◽  
V.A. Petrov ◽  
A.V. Yashin ◽  
A.I. Vangonen ◽  
O.K. Taganov
Keyword(s):  
Composite Material ◽  
Surface Temperature ◽  
Relative Error ◽  
Wavelength Range ◽  
Standard Sample ◽  
A Priori ◽  
Temperature Changes ◽  
Surface Temperatures ◽  
Relative Errors ◽  
Normal Emissivity

Determining the surface temperature of materials with unknown emissivity is studied. A method for determining the surface temperature using a standard sample of average spectral normal emissivity in the wavelength range of 1,65–1,80 μm and an industrially produced Metis M322 pyrometer operating in the same wavelength range. The surface temperature of studied samples of the composite material and platinum was determined experimentally from the temperature of a standard sample located on the studied surfaces. The relative error in determining the surface temperature of the studied materials, introduced by the proposed method, was calculated taking into account the temperatures of the platinum and the composite material, determined from the temperature of the standard sample located on the studied surfaces, and from the temperature of the studied surfaces in the absence of the standard sample. The relative errors thus obtained did not exceed 1,7 % for the composite material and 0,5% for the platinum at surface temperatures of about 973 K. It was also found that: the inaccuracy of a priori data on the emissivity of the standard sample in the range (–0,01; 0,01) relative to the average emissivity increases the relative error in determining the temperature of the composite material by 0,68 %, and the installation of a standard sample on the studied materials leads to temperature changes on the periphery of the surface not exceeding 0,47 % for composite material and 0,05 % for platinum.

Error Control for Molecular Statics Problems

2006 ◽  
Vol 4 (5-6) ◽  
pp. 647-662 ◽  
Author(s):  
Serge Prudhomme ◽  
Paul T. Bauman ◽  
J. Tinsley Oden, Professor
Keyword(s):  
Error Control ◽  
Molecular Statics
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