When calibrating a sensor, the evaluation of the uncertainty of the estimated function is at least as important as the numeric values of the function itself. The calibration process usually involves a least-squares fitting, performed, for example for a thermocouple, by comparing some voltage readings with corresponding temperatures from a reference thermometer. The aim of this work is to encourage the use of improved algorithms, based on an extended minimization criterion, which can overcome some limitations of the classic method.
Evaluation of Reliable Confidence Bounds for Sensor Calibration Curves
SCARPA, FEDERICO
1998-01-01
Abstract
When calibrating a sensor, the evaluation of the uncertainty of the estimated function is at least as important as the numeric values of the function itself. The calibration process usually involves a least-squares fitting, performed, for example for a thermocouple, by comparing some voltage readings with corresponding temperatures from a reference thermometer. The aim of this work is to encourage the use of improved algorithms, based on an extended minimization criterion, which can overcome some limitations of the classic method.
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