Nuclear power plant maintenance optimization

2009 ◽  
Author(s):  
Andrija Volkanovski ◽  
Marko Cepin ◽  
Borut Mavko
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Maintenance Optimization ◽  
Plant Maintenance

The Application of Risk-Informed-Inservice Inspection to Recirculation Piping Welds of a Nuclear Power Plant

2007 ◽  
Vol 120 ◽  
pp. 213-222
Author(s):  
K.C. Hsieh ◽  
Kung Ting ◽  
Kuen Tsan Chen ◽  
W.F. Wu ◽  
Y.L. Lu
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Dose Reduction ◽  
Risk Evaluation ◽  
Nuclear Power ◽  
Safety Concern ◽  
Substantial Cost ◽  
Plant Maintenance ◽  
Cost Reductions

The implementations of RI-ISI can improve the substantial cost reductions as well as dose reduction. From the points of the safety concern, the achievements of these procedures can identify the inspection rank to promote the integrity of the present inspection program. Thus, this paper presents the applications of RI-ISI to recirculation piping welds sensitized to IGSCC of Taiwan BWR-4 nuclear power plant. The establishment of the risk evaluation can be referenced for the regulatory and plant maintenance.

Analysis and Assessment of Errors of Commission in Nuclear Power Plant Settings

2000 ◽  
Vol 44 (22) ◽  
pp. 851-854
Author(s):  
Oliver Straeter
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Maintenance Management ◽  
Pressure Injection ◽  
Safety Margins ◽  
Plant Maintenance ◽  
Complex Technical Systems ◽  
Technical Systems ◽  
High Pressure Injection

The term Errors of Commission (EOC) describes a safety problem of complex technical systems where humans intervene into the system functions in an inappropriate way. Most serious events in any technical area are caused by EOCs. Humans shut down a high pressure injection that is needed in the current situation (TMI Nuclear Power Plant), humans decide to continue a test that brings the plant into serious conditions (Chernobyl Nuclear Power Plant), Maintenance Management does not exchange a wheel that is far below the safety margins (Eschede Railway Accident in Germany). Similar examples can be mentioned in other technical systems like Aircraft or Medicine for instance. This paper firstly gives an overview about the problem and the work in that field. It then focuses on some approaches for solution concerning the modeling of cognitive human behaviour.

scholarly journals Nuclear Power Plant Maintenance Optimisation: Models, Methods & Strategies

2019 ◽  
Vol 1198 (2) ◽  
pp. 022005 ◽  
Author(s):  
I Wayan Ngarayana ◽  
Thi-Mai-Dung Do ◽  
Kenta Murakami ◽  
Masahide Suzuki
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Plant Maintenance

A Self-Learning Algorithm for Primitive Actions’ Affordances of Nuclear Power Plant Maintenance Robot

2014 ◽  
Vol 701-702 ◽  
pp. 219-222
Author(s):  
Chun Yang Liu ◽  
Jing Wei Zhang ◽  
Xue Feng Zheng ◽  
Xu Yan Tu
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Learning Algorithm ◽  
Trial And Error ◽  
Successful Operation ◽  
Data Set ◽  
Plant Maintenance ◽  
Self Learning ◽  
Selection Of

In this paper, an algorithm concerning the primitive action affordances of learning nuclear power plant maintenance robot is presented. The algorithm generates a random matching data set through a new matching method, which is utilized for the selection of object operation, with the matching rate improved by trial and error, and then the attempt number for a successful operation is reduced. In the end, simulation is conducted to verify the feasibility and correctness of the proposed algorithm.

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