scholarly journals Dynamic reliability evaluation for a multi-state component under stress-strength model

2017 ◽  
Vol 10 (02) ◽  
pp. 377-385 ◽  
Author(s):  
Sinan Calik
Author(s):  
Muhammad Hashim ◽  
Hidekazu Yoshikawa ◽  
Takeshi Matsuoka ◽  
Ming Yang

Author’s proposed risk monitor system of Nuclear Power Plant (NPP) is based on the idea of Plant Defense-in-Depth (DiD) risk monitor and reliability monitor to monitor what degree of safety functions incorporated in the plant system is maintained by multiple barriers of Defense-in-Depth (DiD). In the risk monitor system, the range of risk state is not limited in core damage accident but includes all kinds of dangerous states brought by severe accident. In present study, method of the reliability monitor of a risk monitor system is applied to the PWR safety system in order to evaluate the risk state numerically by pursuing all conditions of reliability evaluation given by plant DiD risk monitor. Large break LOCA is taken as an initiating accident event and the implementation of method of the reliability monitor is discussed in detail for single loop PWR safety system by considering the Multilevel Flow Model (MFM), Failure Mode and Effect Analysis (FMEA), and the qualitative reliability evaluation by Fault Tree Analysis (FTA) and the dynamic reliability evaluation by GO-FLOW. The summary of reliability results of PWR safety subsystems are also presented.


2018 ◽  
Vol 22 ◽  
pp. 01057
Author(s):  
Gökhan GÖKDERE ◽  
Mehmet GÜRCAN

In engineering applications, analyzing a technical system vary according to the operating principles of the system. In some situations, the status of the system is a function of stresses which act on the system and cause degradation. In order to efficiently analysis the reliability of a system which operates under stress, assigning the various states to the components depending on their operating performance is very important. In this paper, we have investigated the linear consecutive k-out-of-n: F system and assigned multiple states to its components. Due to the reason, the operating performance of the components can easily be controlled. Apart from that the reliability of the system depending on the states of its components can be calculated at any time interval. In the numerical example, the states of the components and the reliability calculation of the system at specific time intervals are shown clearly.


Author(s):  
A. K. VERMA ◽  
A. SRIVIDYA ◽  
RAJESH PRABHU GAONKAR

This paper presents the dynamic reliability evaluation of the deteriorating system using the concept of probist reliability as a fuzzy number. Triangular fuzzy number (TFN) has been used to represent the reliabilities. Initial reliability is determined using the expert's judgment and probabilistic improvement factor is considered to indicate the maintenance effectiveness of 1P maintenance activity. Deteriorating system is represented by PAR model and fuzzy dynamic reliability estimation procedure is demonstrated with appropriate illustration. Using this fuzzy dynamic reliability, fuzzy hazard rate is computed.


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