保全活動支援のための再処理工場における故障生起汎化知識適用に関する研究

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Published in日本原子力学会和文論文誌 Vol. 21; no. 2; pp. 82 - 95
Main Authors 安田, 優也, 高橋, 信
Format Journal Article
LanguageJapanese
Published 一般社団法人 日本原子力学会 2022
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Author 安田, 優也
高橋, 信
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  organization: 日本原燃㈱再処理事業部 再処理工場計装保全部計装技術課
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  fullname: 高橋, 信
  organization: 東北大学大学院 工学研究科量子エネルギー工学専攻
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References 8) T. Kashima, H. Kimura, H. Koizumi, M. Imamura, “Operation and evaluation for design defect prevention system based on structured knowledge,” Trans. Jpn. Soc. Artif. Intell., 26[5], 607–620 (2011), [in Japanese], https://doi.org/10.1527/tjsai.26.607.
2) J. A. Collins, B. T. Hagan, H. M. Bratt, “The failure-experience matrix - A useful design tool,” J. Eng. Ind., 98[3], 1074–1079 (1976), https://doi.org/10.1115/1.3439009.
9) M. Takahashi, M. Kitamura, K. Sugiyama, “Derivation of diagnostic knowledge from multi-level, multi-attribute model representation of nuclear power plant,” Proc. Topical Meeting on Adv. in Human Factors Res. on Man/Comput. Interact. : Human and Beyond, 5–10 (1990).
17) Japan nuclear fuel Ltd., 六ヶ所再処理工場使用済燃料受入れ・貯蔵施設における安全冷却水系冷却水循環ポンプの一時停止に関する報告について, 2000 Nov. 28, [Internet], https://www.jnfl.co.jp/press/pressj2000/pr001128b.html, (cited 2021 Aug. 1).
3) V. Ramachandran, A. C. Raghuram, R. V. Krishnan, S. K. Bhaumik, Failure Analysis of Engineering Structures : Methodology and Case Histories, ASM International, ISBN : 978-0-87170-820-5 (2005).
16) Japan nuclear fuel Ltd., The Progress Report (Comprehensive Test by Spent Fuel) Reprocessing Facility Active Test (Fourth Step) [再処理施設アクティブ試験(使用済燃料による総合試験)経過報告(第4ステップ)], 2008, [in Japanese], https://www.jnfl.co.jp/press/pressj2007/080227sanko1.pdf, (cited 2021 Aug. 1).
11) Y. Yasuda, M. Takahashi, “Study on the structured representation of failure mechanism in Rokkasho Reprocessing Plant,” Proc. Int. Conf. Nucl. Eng., Chiba, Japan, May. 17–21, 2015, ISBN978-4-88898-256-6 C3853 37037E (2015), [CD-ROM].
1) Japan nuclear fuel Ltd. and Mitsubishi Heavy Industries, Ltd., 再処理施設の設計基準事象選定(J/M1004), 1996, [in Japanese].
4) Y. Hatamura, Recommendation for Failure Science[失敗学のすすめ], Kodansha Ltd., ISBN4-06-210346-X (2000), [in Japanese].
10) M. Takahashi, M. Kitamura, K. Sugiyama, “Representation of generalized failure mechanism knowledge for diagnosis of nuclear power plant,” J. At. Energy Soc. Jpn., 34[7], 678–692 (1992), [in Japanese], https://doi.org/10.3327/jaesj.34.678.
15) Japan nuclear fuel Ltd., The Progress Report (Comprehensive Test by Spent Fuel) Reprocessing Facility Active Test (First Step) [再処理施設アクティブ試験(使用済燃料による総合試験)中間報告書(その1)], 2006, [in Japanese], https://www.jnfl.co.jp/cycle-recycle/testing/uran-testing-progress070312.pdf, (cited 2021 Aug. 1).
14) Japan nuclear fuel Ltd., The Progress Report (Comprehensive Test by Spent Fuel) Reprocessing Facility Active Test (Part 1 of Second Step) [再処理施設 アクティブ試験(使用済燃料による総合試験)中間報告書(その2-1)], 2006, [in Japanese], https://www.jnfl.co.jp/press/pressj2006/061208sanko.pdf, (cited 2021 Aug. 1).
18) Japan nuclear fuel Ltd., ウラン・プルトニウム混合脱硝建屋 グローブポート押さえのひび割れ事象の処置について, 2015 Oct. 21, [Internet], https://www.nsr.go.jp/data/000128023.pdf, (cited 2021 Aug. 1).
7) Y. Tamura, SSMによる構造化知識マネジメント 設計開発における不具合防止に役立つ知識の構築と活用, JUSE Press, Ltd., ISBN978-4-8171-9451-0 (2012), [in Japanese].
5) M. Nakao, 100 Scenarios of Failure[失敗百選-41の原因から未来の失敗を予測する-], Morikita Publishing Co., Ltd., ISBN978-4-627-66471-5 (2005), [in Japanese].
6) M. Nakao, 100 Scenarios of Failure II[続・失敗百選-リコールと事故を防ぐ60のポイント-], Morikita Publishing Co., Ltd., ISBN978-4-627-66771-6 (2010), [in Japanese].
12) Y. Yasuda, M. Takahashi, “Application of generalized failure mechanism knowledge to reprocessing plant for proactive risk management,” Energy Procedia, 131, 216–221 (2017), https://doi.org/10.1016/j.egypro.2017.09.468.
13) K. Watanabe, M. Takahashi, “Derivation of failure mechanism based on knowledge engineering methods for plant tested,” Proc. SICE Tohoku Chapter 306th Workshop, Miyagi, Japan, Dec. 10, 2016, [in Japanese], https://www.topic.ad.jp/sice/htdocs/papers/306/306-2.pdf, (cited 2021 Aug. 1).
References_xml – reference: 13) K. Watanabe, M. Takahashi, “Derivation of failure mechanism based on knowledge engineering methods for plant tested,” Proc. SICE Tohoku Chapter 306th Workshop, Miyagi, Japan, Dec. 10, 2016, [in Japanese], https://www.topic.ad.jp/sice/htdocs/papers/306/306-2.pdf, (cited 2021 Aug. 1).
– reference: 14) Japan nuclear fuel Ltd., The Progress Report (Comprehensive Test by Spent Fuel) Reprocessing Facility Active Test (Part 1 of Second Step) [再処理施設 アクティブ試験(使用済燃料による総合試験)中間報告書(その2-1)], 2006, [in Japanese], https://www.jnfl.co.jp/press/pressj2006/061208sanko.pdf, (cited 2021 Aug. 1).
– reference: 5) M. Nakao, 100 Scenarios of Failure[失敗百選-41の原因から未来の失敗を予測する-], Morikita Publishing Co., Ltd., ISBN978-4-627-66471-5 (2005), [in Japanese].
– reference: 12) Y. Yasuda, M. Takahashi, “Application of generalized failure mechanism knowledge to reprocessing plant for proactive risk management,” Energy Procedia, 131, 216–221 (2017), https://doi.org/10.1016/j.egypro.2017.09.468.
– reference: 4) Y. Hatamura, Recommendation for Failure Science[失敗学のすすめ], Kodansha Ltd., ISBN4-06-210346-X (2000), [in Japanese].
– reference: 11) Y. Yasuda, M. Takahashi, “Study on the structured representation of failure mechanism in Rokkasho Reprocessing Plant,” Proc. Int. Conf. Nucl. Eng., Chiba, Japan, May. 17–21, 2015, ISBN978-4-88898-256-6 C3853 37037E (2015), [CD-ROM].
– reference: 17) Japan nuclear fuel Ltd., 六ヶ所再処理工場使用済燃料受入れ・貯蔵施設における安全冷却水系冷却水循環ポンプの一時停止に関する報告について, 2000 Nov. 28, [Internet], https://www.jnfl.co.jp/press/pressj2000/pr001128b.html, (cited 2021 Aug. 1).
– reference: 15) Japan nuclear fuel Ltd., The Progress Report (Comprehensive Test by Spent Fuel) Reprocessing Facility Active Test (First Step) [再処理施設アクティブ試験(使用済燃料による総合試験)中間報告書(その1)], 2006, [in Japanese], https://www.jnfl.co.jp/cycle-recycle/testing/uran-testing-progress070312.pdf, (cited 2021 Aug. 1).
– reference: 16) Japan nuclear fuel Ltd., The Progress Report (Comprehensive Test by Spent Fuel) Reprocessing Facility Active Test (Fourth Step) [再処理施設アクティブ試験(使用済燃料による総合試験)経過報告(第4ステップ)], 2008, [in Japanese], https://www.jnfl.co.jp/press/pressj2007/080227sanko1.pdf, (cited 2021 Aug. 1).
– reference: 9) M. Takahashi, M. Kitamura, K. Sugiyama, “Derivation of diagnostic knowledge from multi-level, multi-attribute model representation of nuclear power plant,” Proc. Topical Meeting on Adv. in Human Factors Res. on Man/Comput. Interact. : Human and Beyond, 5–10 (1990).
– reference: 1) Japan nuclear fuel Ltd. and Mitsubishi Heavy Industries, Ltd., 再処理施設の設計基準事象選定(J/M1004), 1996, [in Japanese].
– reference: 3) V. Ramachandran, A. C. Raghuram, R. V. Krishnan, S. K. Bhaumik, Failure Analysis of Engineering Structures : Methodology and Case Histories, ASM International, ISBN : 978-0-87170-820-5 (2005).
– reference: 6) M. Nakao, 100 Scenarios of Failure II[続・失敗百選-リコールと事故を防ぐ60のポイント-], Morikita Publishing Co., Ltd., ISBN978-4-627-66771-6 (2010), [in Japanese].
– reference: 2) J. A. Collins, B. T. Hagan, H. M. Bratt, “The failure-experience matrix - A useful design tool,” J. Eng. Ind., 98[3], 1074–1079 (1976), https://doi.org/10.1115/1.3439009.
– reference: 8) T. Kashima, H. Kimura, H. Koizumi, M. Imamura, “Operation and evaluation for design defect prevention system based on structured knowledge,” Trans. Jpn. Soc. Artif. Intell., 26[5], 607–620 (2011), [in Japanese], https://doi.org/10.1527/tjsai.26.607.
– reference: 18) Japan nuclear fuel Ltd., ウラン・プルトニウム混合脱硝建屋 グローブポート押さえのひび割れ事象の処置について, 2015 Oct. 21, [Internet], https://www.nsr.go.jp/data/000128023.pdf, (cited 2021 Aug. 1).
– reference: 7) Y. Tamura, SSMによる構造化知識マネジメント 設計開発における不具合防止に役立つ知識の構築と活用, JUSE Press, Ltd., ISBN978-4-8171-9451-0 (2012), [in Japanese].
– reference: 10) M. Takahashi, M. Kitamura, K. Sugiyama, “Representation of generalized failure mechanism knowledge for diagnosis of nuclear power plant,” J. At. Energy Soc. Jpn., 34[7], 678–692 (1992), [in Japanese], https://doi.org/10.3327/jaesj.34.678.
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SubjectTerms failure mechanism
failure mode
Generalized Failure Mechanism Knowledge (GFMK)
maintenance activity
plant diagnosis
reprocessing
risk management
Title 保全活動支援のための再処理工場における故障生起汎化知識適用に関する研究
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