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タイトル: | Dynamic mode decomposition for subcriticality measurement using measured data at single location |
著者: | Yamamoto, Toshihiro ![]() ![]() ![]() Sakamoto, Hiroki |
著者名の別形: | 山本, 俊弘 |
キーワード: | Rossi-α Pulsed neutron Subcriticality measurement Dynamic mode decomposition |
発行日: | Jan-2023 |
出版者: | Elsevier BV |
誌名: | Annals of Nuclear Energy |
巻: | 180 |
論文番号: | 109480 |
抄録: | Dynamic mode decomposition (DMD) is an effective approach for extracting a fundamental mode eigenvalue in subcriticality measurements. According to several previous studies, data for DMD must be obtained at a sufficient number of locations. However, the number of measurement locations is typically limited owing to experimental constraints. In this study, a time-shifting augmentation technique for DMD is employed, where an augmented data matrix is constructed by stacking multiple time-shifted copies of time-series data at a single location. The proposed DMD technique is applied to numerical simulations of subcriticality measurements, such as those involving the pulsed neutron method and Rossi-α method. The fundamental mode eigenvalues of these measurements are accurately extracted via DMD using the augmented data matrix for a single location without introducing the masking time technique. |
著作権等: | © 2022. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ The full-text file will be made open to the public on 1 January 2025 in accordance with publisher's 'Terms and Conditions for Self-Archiving' This is not the published version. Please cite only the published version. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。 |
URI: | http://hdl.handle.net/2433/277227 |
DOI(出版社版): | 10.1016/j.anucene.2022.109480 |
出現コレクション: | 学術雑誌掲載論文等 |
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