Intelligent real‐time system management: towards an operator companion for nuclear power plants

1989 ◽  
Vol 6 (2) ◽  
pp. 97-115 ◽  
Author(s):  
W.J. Garland ◽  
W.F.S. Poehlman ◽  
N. Solntseff ◽  
J. Hoskins ◽  
L. Williams
Keyword(s):  
Real Time ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
System Management ◽  
Time System ◽  
Real Time System

Review of the Configuration Risk Management Methodologies

2021 ◽  
Author(s):  
Yuhang Zhang ◽  
Zhijian Zhang ◽  
He Wang ◽  
Lixuan Zhang ◽  
Dabin Sun
Keyword(s):  
Risk Management ◽  
Real Time ◽  
Nuclear Power ◽  
Safety Assessment ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
Probabilistic Safety Assessment ◽  
Technical Specifications ◽  
Risk Monitor ◽  
Probabilistic Safety

Abstract To ensure nuclear safety and prevent or mitigate the consequences of accidents, many safety systems have been set up in nuclear power plants to limit the consequences of accidents. Even though technical specifications based on deterministic safety analysis are applied to avoid serious accidents, they are too poor to handle multi-device managements compared with configuration risk management which computes risks in nuclear power plants based on probabilistic safety assessment according to on-going configurations. In general, there are two methodologies employed in configuration risk management: living probabilistic safety assessment (LPSA) and risk monitor (RM). And average reliability databases during a time of interest are employed in living probabilistic safety assessment, which may be naturally applied to make long-term or regular management projects. While transient risk databases are involved in risk monitor to measure transient risks in nuclear power plants, which may be more appropriate to monitor the real-time risks in nuclear power plants and provide scientific real-time suggestions to operators compared with living probabilistic safety assessment. And this paper concentrates on the applications and developments of living probabilistic safety assessment and risk monitor which are the mainly foundation of the configuration risk management to manage nuclear power plants within safe threshold and avoid serious accidents.

A real-time warning model for teamwork performance and system safety in nuclear power plants

2009 ◽  
Vol 47 (3) ◽  
pp. 425-435 ◽  
Author(s):  
Sheue-Ling Hwang ◽  
Guo-Feng Liang ◽  
Jhih-Tsong Lin ◽  
Yi-Jan Yau ◽  
Tzu-Chung Yenn ◽  
...  
Keyword(s):  
Real Time ◽  
Nuclear Power ◽  
Power Plants ◽  
Nuclear Power Plants ◽  
System Safety ◽  
Warning Model
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