• 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