Calibration Modeling Methodology to Optimize Performance for Low Range Applications

Commo, Sean A. ; McCollum, Raymond A. ; Parker, Peter A.

PID  :  NTRS Document ID: 20100019439
RP-ID  :  NF1676L-10685

学科分类：统计和概率

美国|英语

来源: NASA Technical Reports Server

【 摘 要 】

Calibration is a vital process in characterizing the performance of an instrument in an application environment and seeks to obtain acceptable accuracy over the entire design range. Often, project requirements specify a maximum total measurement uncertainty, expressed as a percent of full-scale. However in some applications, we seek to obtain enhanced performance at the low range, therefore expressing the accuracy as a percent of reading should be considered as a modeling strategy. For example, it is common to desire to use a force balance in multiple facilities or regimes, often well below its designed full-scale capacity. This paper presents a general statistical methodology for optimizing calibration mathematical models based on a percent of reading accuracy requirement, which has broad application in all types of transducer applications where low range performance is required. A case study illustrates the proposed methodology for the Mars Entry Atmospheric Data System that employs seven strain-gage based pressure transducers mounted on the heatshield of the Mars Science Laboratory mission.