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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mallick, P. Nayak, C. Behera, T.B. |
| Copyright Year | 2010 |
| Description | Author affiliation: Integrated Test Range, Defence R & D Organisation, Chandipur, Balasore-756025, India (Mallick, P.; Nayak, C.; Behera, T.B.) |
| Abstract | This paper highlights the use of Calibration Constant of Test & Measuring (T&M) equipment derived during calibration process, in measurement inference. The equipment user is much interested to find the true value of measurand against the measured quantity. In this paper, the Best-fit-curve is proposed to model a set of test results obtained during calibration by Least Square Error (LSE) based parabolic regression. Calibration Constant becomes more dominant rather than the detailed multi page test results to determine the actual value of measurement with certain degree of accuracy. This reduces interpolation error while calculating the true value other than testing points and also the measurement time. The Test setup is automated and the measured parameters are traceable to national standards. |
| Starting Page | 334 |
| Ending Page | 338 |
| File Size | 1729156 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424466511 |
| e-ISBN | 9781424466535 |
| DOI | 10.1109/ICIINFS.2010.5578684 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-29 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Interpolation Calibration Constant Uncertainty Measurement uncertainty Best-fit-curve Regression Parabolic function Calibration Mathematical model Curve fitting Equations Least square error |
| Content Type | Text |
| Resource Type | Article |
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