Optimization of Overhaul Interval of Motor-Operated Valve in Safety Systems for BWRs Estimated by Bayes Analysis
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- NODA Hiroshi
- Division of Energy and Environmental Systems, Graduate School of Engineering, Hokkaido University
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- NARABAYASHI Tadashi
- Division of Energy and Environmental Systems, Graduate School of Engineering, Hokkaido University
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- YOSHIDA Tomoaki
- Codes and Standards Division, Japan Nuclear Technology Institute
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- NAKAMURA Makoto
- Nuclear Technology Research Laboratory, Central Research Institute of Electric Power Industry
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- KIRIMOTO Yukihiro
- Nuclear Technology Research Laboratory, Central Research Institute of Electric Power Industry
Bibliographic Information
- Other Title
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- ベイズ統計に基づくBWR安全系電動弁の分解点検間隔の最適化
- ベイズ トウケイ ニ モトズク BWR アンゼンケイ デンドウベン ノ ブンカイ テンケン カンカク ノ サイテキカ
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Abstract
When the maintenance program for components in a nuclear power plant is drawn up, it is important to evaluate and optimize the overhaul interval of components based on operation and maintenance experiences. Motor-operated valve (MOV) data in safety systems for BWRs are selected from the operation and maintenance database for Japanese nuclear power plants called NUClear Information Archives (NUCIA). The time dependence of the failure occurrence rate of MOV is analyzed by Baysian inference using a log-linear and regression model of nonhomogeneous Poisson process. Then, its optimal overhaul interval of MOV is evaluated based on the time-dependent failure occurrence rate as determined by Bayes analysis. This Bayes analysis is found to be effective for estimating the optimal decision for the overhaul interval of MOV in an actual nuclear plant. This analysis will also contribute to optimizing the overhaul interval of any components in a nuclear power plant by using the data in NUCIA.<br>
Journal
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- Transactions of the Atomic Energy Society of Japan
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Transactions of the Atomic Energy Society of Japan 8 (1), 54-67, 2009
Atomic Energy Society of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390001205187136512
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- NII Article ID
- 10024729740
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- NII Book ID
- AA11643165
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- ISSN
- 21862931
- 13472879
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- NDL BIB ID
- 10185121
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed