Takashi FUJIOKA
著者に関連した記事は3件です。
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第14回
インバリアント分析技術とビックデータを活用したプラント監視装置の開発
著者:
林 司,Tsukasa HAYASHI,生田 睦男,Takeo IKUTA,藤岡 隆,Takashi FUJIOKA,山本 敬之,Takayuki YAMAMOTO,高瀬 健太郎,Kentaro TAKASE
発刊日:
公開日:
キーワードタグ:
Big Data invariant Real-time monitoring
林 司,Tsukasa HAYASHI,生田 睦男,Takeo IKUTA,藤岡 隆,Takashi FUJIOKA,山本 敬之,Takayuki YAMAMOTO,高瀬 健太郎,Kentaro TAKASE
発刊日:
公開日:
キーワードタグ:
Big Data invariant Real-time monitoring
Our Company, aims at tracking huge plant parameters (Big Data), managed by Nuclear Power Plants. By application of this Big Data, along with NEC Corporation we developed a system to detect any equipment abnormalities accurately and as much as possible at an early stage. After the implementation of the system, checks of the actual working of the system can be conducted and performance gains enhanced drastically. ...
英字タイトル:
Development of the Plant Monitor System utilized Invariant Analysis Technology and Big Data
英字タイトル:
Development of the Plant Monitor System utilized Invariant Analysis Technology and Big Data
第13回
予兆監視システムのプラント性能評価への応用
著者:
高瀬 健太郎,Kentaro TAKASE,林 司,Tsukasa HAYASHI,藤岡 隆,Takashi FUJIOKA,山本 敬之,Takayuki YAMAMOTO
発刊日:
公開日:
キーワードタグ:
Big Data Analysis Maintenance Planning Maintenance Record Multivariate Analysis System Performance Indicator
高瀬 健太郎,Kentaro TAKASE,林 司,Tsukasa HAYASHI,藤岡 隆,Takashi FUJIOKA,山本 敬之,Takayuki YAMAMOTO
発刊日:
公開日:
キーワードタグ:
Big Data Analysis Maintenance Planning Maintenance Record Multivariate Analysis System Performance Indicator
We have developed the prediction monitoring and diagnostic system for the purpose of the early detection of the abnormal behavior of the complicated system like a nuclear power plant. Furthermore, the techniques for the modeling of the relationships between sensors are applied to evaluate the system performance. The developed method is applied to the primary loop recirculation (PLR) pumps and the system performance indicator is calculated. The results are compared with the maintenance record of the PLR p...
英字タイトル:
Application of Prediction Monitoring and Diagnostic System to Plant Performance Evaluation
英字タイトル:
Application of Prediction Monitoring and Diagnostic System to Plant Performance Evaluation
第13回
島根原子力発電所の運転データを活用したプラント故障予兆監視システムの導入と運用 Shimane Nuclear Power Plant Implementation of the Prediction Monitoring and Diagnostic System
著者:
藤岡 隆,Takashi FUJIOKA,山本 敬之,Takayuki YAMAMOTO
発刊日:
公開日:
キーワードタグ:
Big Data invariant Real-time monitoring
藤岡 隆,Takashi FUJIOKA,山本 敬之,Takayuki YAMAMOTO
発刊日:
公開日:
キーワードタグ:
Big Data invariant Real-time monitoring
Our Company, aims at tracking huge plant parameters (Big Data), managed by Nuclear Power Plants. By application of this Big Data, along with NEC Corporation we developed a system to detect any equipment abnormalities accurately and as much as possible at an early stage. After the implementation of the system, checks of the actual working of the system can be conducted and performance gains enhanced drastically. ...