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Optimization of a dynamic uncertain causality graph for fault diagnosis in nuclear power plant

NUCLEAR ENERGY SCIENCE AND ENGINEERING | Updated：2021-02-23

- Optimization of a dynamic uncertain causality graph for fault diagnosis in nuclear power plant Cover Article Enhanced Publication
- Nuclear Science and Techniques Vol.28, Issue 3, (2017)
- Affiliations：
  
  Institute of Nuclear and New Energy Technology of Tsinghua University,Beijing,China,100084;Energy Department, Politecnico di Milano,Milano,Italy,20156;Chair System Science and the Energy Challenge, Fondation Electricité de France (EDF), CentraleSupélec, Université Paris Saclay,Chatenay-Malabry,France,92290;Department of Computer Science and Technology, Tsinghua University,Beijing,China,100084;Department of Economic and Management, North China Electric Power University,Beijing,China,102206
- Author bio：
- Funds：
- DOI：10.1007/s41365-017-0184-0 CLC：
- Published：01 March 2017，
  
  Published Online：02 February 2017，
  
  Received：04 January 2016，
  
  Revised：11 August 2016，
  
  Accepted：14 August 2016
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Cite this article
Yue Zhao, Francesco Di Maio, Enrico Zio, et al. Optimization of a dynamic uncertain causality graph for fault diagnosis in nuclear power plant. [J]. Nuclear Science and Techniques 28(3):34(2017)
DOI：

Yue Zhao, Francesco Di Maio, Enrico Zio, et al. Optimization of a dynamic uncertain causality graph for fault diagnosis in nuclear power plant. [J]. Nuclear Science and Techniques 28(3):34(2017) DOI： 10.1007/s41365-017-0184-0.

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Optimization of a dynamic uncertain causality graph for fault diagnosis in nuclear power plant Cover Article Enhanced Publication