DocumentCode
2519356
Title
An optimized approach to sensor calibration design
Author
Betta, Giovanni ; Isola, Marco Dell
Author_Institution
Dept. of Ind. Eng., Cassino Univ., Italy
fYear
1993
fDate
18-20 May 1993
Firstpage
316
Lastpage
322
Abstract
The authors highlight some aspects of the calibration design that could aid in the optimization of sensor characterization. The focus is on the minimization of the regression curve uncertainty by minimizing the standard deviation of its coefficients. Some formulas and tables are given for an easy choice of the experimental plan in terms of number of observations, calibration points and repetitions. A general solution to the problem of calibration point location is provided. An experimental validation of the results is given
Keywords
calibration; measurement errors; minimisation; sensors; cubic equation; linear equation; linear regression; minimization; number of observations; optimization; quadratic equation; regression curve uncertainty; repetitions; sensor calibration design; standard deviation; Buildings; Calibration; Design optimization; Industrial engineering; Performance analysis; Performance evaluation; Sensor phenomena and characterization; Temperature sensors; Transducers; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference, 1993. IMTC/93. Conference Record., IEEE
Conference_Location
Irvine, CA
Print_ISBN
0-7803-1229-5
Type
conf
DOI
10.1109/IMTC.1993.382628
Filename
382628
Link To Document