scholarly journals Reliability analysis of a warm standby repairable system with two cases of imperfect switching mechanism

2017 ◽  
Vol 24 (2) ◽  
pp. 808-822 ◽  
Author(s):  
Meisam Sadeghi ◽  
Emad Roghanian
Keyword(s):  
Reliability Analysis ◽  
Repairable System ◽  
Switching Mechanism ◽  
Warm Standby

A Systematic Approach to the Reliability Analysis of an n-Unit Warm Standby System With k-Repair Facility

2009 ◽  
Author(s):  
Yu Pang ◽  
Hong-Zhong Huang ◽  
Yu Liu ◽  
Min Xie
Keyword(s):  
Reliability Analysis ◽  
Systematic Approach ◽  
Previous Analysis ◽  
Process Theory ◽  
Repairable System ◽  
Standby System ◽  
General Reliability ◽  
Repair Facility ◽  
Traditional Approaches ◽  
Warm Standby

A systematic reliability analysis of n-unit warm standby repairable system with k-repair facility is presented in this paper. Traditional approaches are extended under the following assumptions: (1) the working lifetime, the standby lifetime, and the repair time of failed units are represented as exponential distribution; and (2) the repair of failed units are as good as new after repair. In this paper, a general reliability analysis of an n-unit warm standby repairable system with k-repair facility is presented. Based on previous analysis, the steady-state reliability and the average availability of the system are formulated using the Markov process theory and Laplace transform.

Reliability analysis and state transfer scheduling optimization of degrading load-sharing system equipped with warm standby components

2021 ◽  
pp. 1748006X2110017
Author(s):  
Sheng-Jia Ruan ◽  
Yan-Hui Lin
Keyword(s):  
Reliability Analysis ◽  
System Reliability ◽  
High Reliability ◽  
Quadrature Rule ◽  
Load Sharing ◽  
Measurement Information ◽  
Model Parameters ◽  
Scheduling Optimization ◽  
State Transfer ◽  
Warm Standby

Standby redundancy can meet system safety requirements in industries with high reliability standards. To evaluate reliability of standby systems, failure dependency among components has to be considered especially when systems have load-sharing characteristics. In this paper, a reliability analysis and state transfer scheduling optimization framework is proposed for the load-sharing 1-out-of- N: G system equipped with M warm standby components and subject to continuous degradation process. First, the system reliability function considering multiple dependent components is derived in a recursive way. Then, a Monte Carlo method is developed and the closed Newton-Cotes quadrature rule is invoked for the system reliability quantification. Besides, likelihood functions are constructed based on the measurement information to estimate the model parameters of both active and standby components, whose degradation paths are modeled by the step-wise drifted Wiener processes. Finally, the system state transfer scheduling is optimized by the genetic algorithm to maximize the system reliability at mission time. The proposed methodology and its effectiveness are illustrated through a case study referring to a simplified aircraft hydraulic system.

Reliability Analysis Method on Repairable System with Standby Structure Based on Goal Oriented Methodology

2015 ◽  
Vol 32 (7) ◽  
pp. 2505-2517 ◽  
Author(s):  
Xiao-jian Yi ◽  
B.S. Dhillon ◽  
Jian Shi ◽  
Hui-na Mu ◽  
Hai-ping Dong
Keyword(s):  
Reliability Analysis ◽  
Repairable System ◽  
Analysis Method

scholarly journals Reliability analysis of a k-out-of-n:G repairable system with single vacation

2014 ◽  
Vol 38 (24) ◽  
pp. 6075-6097 ◽  
Author(s):  
Wenqing Wu ◽  
Yinghui Tang ◽  
Miaomiao Yu ◽  
Ying Jiang
Keyword(s):  
Reliability Analysis ◽  
Repairable System ◽  
Single Vacation
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