2001
DOI: 10.1108/02602280110398044
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Improving the accuracy of temperature measurements

Abstract: Technology advances in the field of temperature measurement have led to a huge variety of sensors and measuring instruments now being available for making accurate measurements at relatively low costs. This article takes a``back to basics'' look at three of the most popular temperature sensor technologies and offers advice on how to avoid the many pitfalls and traps that often destroy the accuracy of a temperature measuring system.

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Cited by 60 publications
(35 citation statements)
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“…If not otherwise specified, the standard deviation of the random error in the heat flux measurements is assumed to be 5% of the highest heat flux value at the back surface, i.e., / à ¼ 5%½q à qLexact ðy; z; tÞ max . We assume that the back-surface temperature contains no errors since temperature can be measured with much less uncertainty compared to heat flux [7,8]. Fig.…”
Section: Results Of Ihcpmentioning
confidence: 99%
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“…If not otherwise specified, the standard deviation of the random error in the heat flux measurements is assumed to be 5% of the highest heat flux value at the back surface, i.e., / à ¼ 5%½q à qLexact ðy; z; tÞ max . We assume that the back-surface temperature contains no errors since temperature can be measured with much less uncertainty compared to heat flux [7,8]. Fig.…”
Section: Results Of Ihcpmentioning
confidence: 99%
“…The purpose of this study is to demonstrate the effectiveness and accuracy of the proposed IHCP formulation in reconstructing the observed heat flux q à 1 ðy; z; tÞ and temperature T à 1 ðy; z; tÞ on the front surface of a 3D target with temperature-dependent thermophysical properties, based on the measured temperature and heat flux on back surface. Due to the fact that temperature measurement contains much less errors compared to the heat flux measurement [5][6][7][8], the back surface temperature Y à TL ðy; z; tÞ is used as the boundary condition while the back-surface heat flux Y à qL ðy; z; tÞ is adopted in the objective function. …”
Section: Model Descriptionmentioning
confidence: 99%
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“…Using (11), 11 histogram bins were obtained for a pressure range defined in pounds per square inch interval [1]- [9] and IQ = 3.68 lb/in 2 , which gives a histogram bin width h of 0.73 lb/in 2 . Fig.…”
Section: B Experimental Resultsmentioning
confidence: 99%
“…31 An integrated resistive temperature detector (RTD) is used for the temperature sensor in this work. The RTD temperature sensor has a number of advantages such as stability, 32,33 high accuracy, 32 linearity, 32 reproducibility, 34 and ease of fabrication. The RTD works on the principle that the resistance of the RTD changes in relation to the RTD temperature.…”
Section: Design and Fabrication Of The Thermal Componentsmentioning
confidence: 99%