DocumentCode :
3194131
Title :
Statistical evaluation of calibration factor drift of the power sensor and calibration interval
Author :
Yeou-Song Lee
Author_Institution :
Anritsu Co., Morgan Hill, CA, USA
fYear :
2012
fDate :
22-22 June 2012
Firstpage :
1
Lastpage :
4
Abstract :
This paper describes the determination of drift specification based on the data collection from the statistical process control (SPC) in the power sensor test stations. Linear regression analysis on check standards is used for the determination of long-term drift. Working standards traceable to the NIST also contributed to the total amount of drift in the measurement system. It is important to estimate the level of significance of the traceable standards. An empirical study based on the multiple measurements by the NIST was conducted for the stability test. This study compares the long-term drift to the interval of calibration accuracy. The results show a good agreement.
Keywords :
calibration; electric sensing devices; power measurement; regression analysis; stability; statistical analysis; statistical process control; NIST traceable standard; SPC; calibration factor drift; calibration interval; data collection; linear regression analysis; long-term drift specification determination; measurement system; power sensor test station; significance level estimation; stability testing; statistical evaluation; statistical process control; Calibration; Instruments; Measurement uncertainty; Power measurement; Regression analysis; Standards; Thermal sensors; calibration interval; drift rate; linear regression; power sensor;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microwave Measurement Conference (ARFTG), 2012 79th ARFTG
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4673-1229-5
Electronic_ISBN :
978-1-4673-1230-1
Type :
conf
DOI :
10.1109/ARFTG79.2012.6291205
Filename :
6291205
Link To Document :
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