Art

J-GLOBAL ID：201702256432033721   Reference number：17A0069512

Research on Fault Diagnosis Based on SDG-QTA in Nuclear Power Plant

SDG-QTAに基づく核動力装置の故障診断技術の研究【JST・京大機械翻訳】

Author (5)： Wu Guohua (Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University) ,  Liu Yongkuo (Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University) ,  Xie Chunli (Traffic College,Northeast Forestry University) ,  Peng Minjun (Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University) ,  Duan Zhiyong (Fundamental Science on Nuclear Safety and Simulation Technology Laboratory, Harbin Engineering University)
Material： Yuanzineng Kexue Jishu  (Atomic Energy Science and Technology)
Volume： 50  Issue： 8  Page： 1467-1473  Publication year： 2016 
JST Material Number： C2078A  ISSN： 1000-6931  Document type： Article
Article type： 原著論文  Country of issue： China (CHN)  Language： CHINESE (ZH)

Abstract/Point： Research on online process mon...

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Thesaurus term： nuclear power plant ,  directed graph ,  modeling ,  *failure ,  flexibility ,  *power unit ,  operator(worker) ,  qualitative analysis ,  *fault diagnosis
Semi thesaurus term： 伝搬経路 ,  傾向解析 ,  状態監視 ,  オンライン , 【Automatic Indexing@JST】

Author keywords (5)： nuclear power plant ,  fault diagnosis ,  process monitoring ,  signed directed graph ,  qualitative trend analysis

JST classification (3)： Reliability  (KB04040H) ,  Logic circuits  (NC05070B) ,  Measurement,testing and reliability of solid-state devices  (NC03040G)

Terms in the title (4)： 核 ,  動力装置 ,  故障診断 ,  研究