Shohei YAMASAKI
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機械学習手法を活用した CRDM 作動分析技術の高度化について
著者:
西村 卓也,Takuya NISHIMURA,山嵜 將平,Shohei YAMASAKI,斎藤 真由美,Mayumi SAITOH,中山 博之,Hiroyuki NAKAYAMA,矢口 誓児,Seiji YAGUCHI
発刊日:
公開日:
キーワードタグ:
CRDM Machine Learning maintenance motion analysis
西村 卓也,Takuya NISHIMURA,山嵜 將平,Shohei YAMASAKI,斎藤 真由美,Mayumi SAITOH,中山 博之,Hiroyuki NAKAYAMA,矢口 誓児,Seiji YAGUCHI
発刊日:
公開日:
キーワードタグ:
CRDM Machine Learning maintenance motion analysis
Control Rod Drive Mechanism (CRDM) for pressurized water reactor (PWR) plant operates control rods in response to electrical signals from a reactor control system. CRDM operability is evaluated by characteristic of CRDM operational data. MHI has already developed an automatic CRDM motion analysis and applied it to actual plants so far. However, CRDM operational data has wide variation and noise depending on their characteristics such as plant condition, address, plant, and so on. In the existing motion...
英字タイトル:
Improvement of CRDM Motion Analysis using Machine Learning
英字タイトル:
Improvement of CRDM Motion Analysis using Machine Learning