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The combined method for uncertainty evaluation in electromagnetic radiation measurement

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2014
232.pdf (404.1Kb)
Authors
Kovačević, Aleksandar M.
Kovačević, Ana
Stanković, Koviljka Đ.
Kovačević, Uroš D.
Article (Published version)
Metadata
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Abstract
Electromagnetic radiation of all frequencies represents one of the most common and fastest growing environmental influence. All populations are now exposed to varying degrees of electromagnetic radiation and the levels will continue to increase as technology advances. An electronic or electrical product should not generate electromagnetic radiation which may impact the environment. In addition, electromagnetic radiation measurement results need to be accompanied by quantitative statements about their accuracy. This is particularly important when decisions about product specifications are taken. This paper presents an uncertainty budget for disturbance power measurements of the equipment as part of electromagnetic radiation. We propose a model which uses a mixed distribution for uncertainty evaluation. The evaluation of the probability density function for the measurand has been done using the Monte Carlo method and a modified least-squares method (combined method). For illustration, th...is paper presents mixed distributions of two normal distributions, normal and rectangular, respectively.

Keywords:
combined method / electromagnetic radiation / disturbance power / mixed distribution / probability density function
Source:
Nuclear Technology and Radiation Protection, 2014, 29, 4, 279-284
Publisher:
  • Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd
Funding / projects:
  • Advanced technologies for monitoring and environmental protection from chemical pollutants and radiation burden (RS-43009)
  • Physical and functional effects of radiation interaction with electrotechnical and biological systems (RS-171007)

DOI: 10.2298/NTRP1404279K

ISSN: 1451-3994

WoS: 000349515900005

Scopus: 2-s2.0-84922771432
[ Google Scholar ]
38
38
URI
https://rhinosec.fb.bg.ac.rs/handle/123456789/235
Collections
  • Radovi istraživača
Institution/Community
FB
TY  - JOUR
AU  - Kovačević, Aleksandar M.
AU  - Kovačević, Ana
AU  - Stanković, Koviljka Đ.
AU  - Kovačević, Uroš D.
PY  - 2014
UR  - https://rhinosec.fb.bg.ac.rs/handle/123456789/235
AB  - Electromagnetic radiation of all frequencies represents one of the most common and fastest growing environmental influence. All populations are now exposed to varying degrees of electromagnetic radiation and the levels will continue to increase as technology advances. An electronic or electrical product should not generate electromagnetic radiation which may impact the environment. In addition, electromagnetic radiation measurement results need to be accompanied by quantitative statements about their accuracy. This is particularly important when decisions about product specifications are taken. This paper presents an uncertainty budget for disturbance power measurements of the equipment as part of electromagnetic radiation. We propose a model which uses a mixed distribution for uncertainty evaluation. The evaluation of the probability density function for the measurand has been done using the Monte Carlo method and a modified least-squares method (combined method). For illustration, this paper presents mixed distributions of two normal distributions, normal and rectangular, respectively.
PB  - Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd
T2  - Nuclear Technology and Radiation Protection
T1  - The combined method for uncertainty evaluation in electromagnetic radiation measurement
VL  - 29
IS  - 4
SP  - 279
EP  - 284
DO  - 10.2298/NTRP1404279K
UR  - conv_434
ER  - 
@article{
author = "Kovačević, Aleksandar M. and Kovačević, Ana and Stanković, Koviljka Đ. and Kovačević, Uroš D.",
year = "2014",
abstract = "Electromagnetic radiation of all frequencies represents one of the most common and fastest growing environmental influence. All populations are now exposed to varying degrees of electromagnetic radiation and the levels will continue to increase as technology advances. An electronic or electrical product should not generate electromagnetic radiation which may impact the environment. In addition, electromagnetic radiation measurement results need to be accompanied by quantitative statements about their accuracy. This is particularly important when decisions about product specifications are taken. This paper presents an uncertainty budget for disturbance power measurements of the equipment as part of electromagnetic radiation. We propose a model which uses a mixed distribution for uncertainty evaluation. The evaluation of the probability density function for the measurand has been done using the Monte Carlo method and a modified least-squares method (combined method). For illustration, this paper presents mixed distributions of two normal distributions, normal and rectangular, respectively.",
publisher = "Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd",
journal = "Nuclear Technology and Radiation Protection",
title = "The combined method for uncertainty evaluation in electromagnetic radiation measurement",
volume = "29",
number = "4",
pages = "279-284",
doi = "10.2298/NTRP1404279K",
url = "conv_434"
}
Kovačević, A. M., Kovačević, A., Stanković, K. Đ.,& Kovačević, U. D.. (2014). The combined method for uncertainty evaluation in electromagnetic radiation measurement. in Nuclear Technology and Radiation Protection
Univerzitet u Beogradu - Institut za nuklearne nauke Vinča, Beograd., 29(4), 279-284.
https://doi.org/10.2298/NTRP1404279K
conv_434
Kovačević AM, Kovačević A, Stanković KĐ, Kovačević UD. The combined method for uncertainty evaluation in electromagnetic radiation measurement. in Nuclear Technology and Radiation Protection. 2014;29(4):279-284.
doi:10.2298/NTRP1404279K
conv_434 .
Kovačević, Aleksandar M., Kovačević, Ana, Stanković, Koviljka Đ., Kovačević, Uroš D., "The combined method for uncertainty evaluation in electromagnetic radiation measurement" in Nuclear Technology and Radiation Protection, 29, no. 4 (2014):279-284,
https://doi.org/10.2298/NTRP1404279K .,
conv_434 .

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