Identification of Global Noise in a Boiling Water Reactor by Means of Spectral and Parametric Methods
(1979) In Journal of Nuclear Science and Technology 16(2). p.77-88- Abstract
- Spectral analysis as well as parametric identification techniques have been applied to data from boiling water reactor noise measurements to estimate the process dynamics. Three different parametric model structures were tried. Least squares and maximum likelihood methods were tried to estimate the parameters of the models. Low order models were obtained in most cases.
The results show the difficulties to identify the dynamics and the static gain from normal operating data when strong feedback and correlation between the inputs exist.
The results also show how sharp resonant peaks will be smoothed in long-time analysis probably due to time-varying parameters. The resonance frequency in average power range monitor (APRM)... (More) - Spectral analysis as well as parametric identification techniques have been applied to data from boiling water reactor noise measurements to estimate the process dynamics. Three different parametric model structures were tried. Least squares and maximum likelihood methods were tried to estimate the parameters of the models. Low order models were obtained in most cases.
The results show the difficulties to identify the dynamics and the static gain from normal operating data when strong feedback and correlation between the inputs exist.
The results also show how sharp resonant peaks will be smoothed in long-time analysis probably due to time-varying parameters. The resonance frequency in average power range monitor (APRM) and main circulation flow can be well predicted by rather simple models.
(Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/44c37cc8-6c04-4698-98b2-30ca70a454f3
- author
- Bergman, Sten and Gustavsson, Ivar
- organization
- publishing date
- 1979
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Journal of Nuclear Science and Technology
- volume
- 16
- issue
- 2
- pages
- 77 - 88
- publisher
- Taylor & Francis
- external identifiers
-
- scopus:0018429606
- ISSN
- 0022-3131
- DOI
- 10.1080/18811248.1979.9730876
- language
- English
- LU publication?
- no
- id
- 44c37cc8-6c04-4698-98b2-30ca70a454f3
- date added to LUP
- 2018-12-09 17:37:33
- date last changed
- 2021-01-03 09:47:45
@article{44c37cc8-6c04-4698-98b2-30ca70a454f3,
abstract = {{Spectral analysis as well as parametric identification techniques have been applied to data from boiling water reactor noise measurements to estimate the process dynamics. Three different parametric model structures were tried. Least squares and maximum likelihood methods were tried to estimate the parameters of the models. Low order models were obtained in most cases.<br/><br/>The results show the difficulties to identify the dynamics and the static gain from normal operating data when strong feedback and correlation between the inputs exist.<br/><br/>The results also show how sharp resonant peaks will be smoothed in long-time analysis probably due to time-varying parameters. The resonance frequency in average power range monitor (APRM) and main circulation flow can be well predicted by rather simple models.<br/>}},
author = {{Bergman, Sten and Gustavsson, Ivar}},
issn = {{0022-3131}},
language = {{eng}},
number = {{2}},
pages = {{77--88}},
publisher = {{Taylor & Francis}},
series = {{Journal of Nuclear Science and Technology}},
title = {{Identification of Global Noise in a Boiling Water Reactor by Means of Spectral and Parametric Methods}},
url = {{http://dx.doi.org/10.1080/18811248.1979.9730876}},
doi = {{10.1080/18811248.1979.9730876}},
volume = {{16}},
year = {{1979}},
}