A Probabilistic Hazard Assessment Framework for Safety-Critical and Control Systems: A Case Study for a Nuclear Power Plant

2017 ◽  
Vol 197 (1) ◽  
pp. 20-28 ◽  
Author(s):  
Vinay Kumar ◽  
Lalit Singh ◽  
A. K. Tripathi
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Control Systems ◽  
Hazard Assessment ◽  
Nuclear Power ◽  
Assessment Framework ◽  
Probabilistic Hazard Assessment ◽  
Safety Critical ◽  
And Control

scholarly journals Early quantification of reliability for a safety critical and control system: a case study of reactor core cooling system

2018 ◽  
Vol 7 (2.12) ◽  
pp. 248
Author(s):  
Vinay Kumar ◽  
Suraj Gupta ◽  
Anil Kumar Tripathi
Keyword(s):  
Control System ◽  
Power Plant ◽  
Nuclear Power ◽  
Power Plants ◽  
Cooling System ◽  
Reactor Core ◽  
Safety Critical ◽  
Core Cooling ◽  
And Control

Using Probabilistic Reliability analysis for Quantifying reliability of a system is already a common practice in Reliability Engineering community. This method plays an important role in analyzing reliability of nuclear plants and its various components. In Nuclear Power Plants Reactor Core Cooling System is a component of prime importance as its breakdown can disrupt Cooling System of power plant. In this paper, we present a framework for early quantification of Reliability and illustrated with a Safety Critical and Control System as case study which runs in a Nuclear Power Plant.  

Research on Digital Instrumentation and Control System in Nuclear Power Plant Using Mixed Redundant Model

2013 ◽  
Author(s):  
Zhiwu Ke ◽  
Xianling Li ◽  
Rui Yu ◽  
Rui Xiang
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
System Reliability ◽  
Nuclear Power ◽  
High Reliability ◽  
Obvious Effect ◽  
Safety Critical ◽  
Digital Instrumentation ◽  
And Control ◽  
The Relationship

Reliability is the most important factor in instrumentation and control (I&C) system for nuclear power plant (NPP). Now in order to reach high reliability, static redundant and dynamic redundant technique is in common use. Static redundant method can keep out the failure of one module, but could not detect the mistake. Dynamic redundant mean would examine the mistake of the working unit, but can not ward off the failure. In this study, our main purpose is to develop the advanced redundant way which includes the advantage of static redundancy and dynamic redundancy means by mixed redundant model (MRM). Utilizing logic order in the relationship between unit and system using reliable diagram, analyzing the reliability of MRM by the way of probability, the result has obvious effect upon improving the system reliability compared with above two models. MRM can be applied for safety critical I&C.

scholarly journals Diversity Strategies for Nuclear Power Plant Instrumentation and Control Systems

2010 ◽  
Author(s):  
Richard Thomas Wood ◽  
Randy Belles ◽  
Mustafa Sacit Cetiner ◽  
David Eugene Holcomb ◽  
Kofi Korsah ◽  
...  
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Control Systems ◽  
Nuclear Power ◽  
And Control
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