A Methodology for Analyzing the Transient Availability and Survivability of a System with the Standby Components in Two Cases: The Identical Components and the Non-Identical Components

Amiri, Maghsoud; Ghassemi-Tari, Farhad; Mohtashami, Ali; Sadaghiani, Jamshid Salehi

doi:10.3923/jas.2008.4105.4112

Cited by 6 publications

(9 citation statements)

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“…Survivability Analysis Methods. Amiri and Ghassemi-Tari et al [11] presented a method for transient analysis of availability and survivability of a system with the standby components, and the Markov models, eigen vectors and eigen values are employed for analyzing the transient availability and survivability of the system. Zhao and Cui et al [12] proposed an effective model for ad hoc network based on stochastic Petri nets, adopted a two-phase approach consisting of the steady-state availability analysis and the system transient performance ana1ysis, and provided a quantitative approach for analysis of the network survivability.…”

Section: Evaluation Resultsmentioning

confidence: 99%

A General Framework for Network Survivability Testing and Evaluation

Wang¹,

Liang²,

Zhao³

et al. 2011

JNW

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The survivability of network is of vital importance with respect to the normal operation of information infrastructure. The current research works in the area of network survivability generally aimed at the definitions and quantifications of specific survivability attributes or metrics for distinct network objects. Unfortunately, there is a lack of research concerning how to model, test and evaluate the survivability of network in a consistent manner, and it is helpful to the unification of network survivability testing and evaluation and the promotion of related research works in the area of network survivability. Furthermore, the requirements for network survivability testing and evaluation

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Section: Evaluation Resultsmentioning

confidence: 99%

A General Framework for Network Survivability Testing and Evaluation

Wang¹,

Liang²,

Zhao³

et al. 2011

JNW

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“…Regarding the method to solve the system of equations, there are several methods including numerical and analytical methods. In this paper, we solve the system of equations using a method described in [32] to solve it analytically.…”

Section: A Multistate Systems With Independent Componentsmentioning

confidence: 99%

“…The system of C-K equations can be rewritten in matrix form [32] ( 18) In (17), there are a total of equations, of state combinations of all components in the system. Then, is a row vector,…”

Section: Reliability Analysis Of Mss With Dependent Components 1) mentioning

confidence: 99%

“…Given as a row vector of initial condition, we can solve the system of C-K equations and determine the system state probabilities. The solutions to the system of equation 18take the following form [32]. (20) where is a matrix of eigenvectors of matrix is a diagonal matrix with diagonal elements being eigenvalues of .…”

Section: Reliability Analysis Of Mss With Dependent Components 1) mentioning

confidence: 99%

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Selective Maintenance for Multistate Series Systems With S-Dependent Components

Dao

Zuo

2016

IEEE Trans. Rel.

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In this paper, we will consider the selective maintenance problem for multistate series systems with stochastic dependent components. In multistate systems, the health state of a component may vary from perfect functioning to complete failure. The stochastic dependence (S-dependence) between components is discussed and categorized into two types in multistate context. First, the failure of a component can immediately cause complete failures of some other components in the system. Second, as components deteriorate, the reduced working performance rate of a multistate component affects the state as well as the degradation rate of its subsequent components in series structure. The system reliability is evaluated using an approach based on stochastic process. A costbased selective maintenance model is developed for the multistate system with S-dependent components to maximize the total system profit, which includes the production gain and loss in the next mission as well as possible maintenance costs for the system. Analyses of systems with independent and dependent components are provided. It is observed that ignoring S-dependence in the system may lead to alternative maintenance decision making and an optimistic estimation of the system performance.

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“…However, it is usually impossible for a single-objective approach to represent a practical problem truly. Moreover, we can nd several reliability/availability approaches to address di erent problems [41][42][43][44][45][46].…”

Section: Introductionmentioning

confidence: 99%

A Multi-Objective Multi-State Degraded System to Optimize Maintenance/Repair Costs and System Availability

et al. 2017

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Abstract. In this study, a multi-state degraded system is studied, where status of system is continuously degrading over time. As time progresses, system may either deteriorate gradually and go to lower performance state, or it may fail suddenly. If the system fails, some repairs are carried out to restore the system to the previous state. When the inspections reveal that the system has reached its last acceptable state, a PM is carried out to restore the system to the higher performance states. The goal is to nd the optimal PM level, so that the mean availability of the system is maximized and the total cost of the system is minimized. In this regard, Markov process is employed to represent di erent states of system. An integrated optimization approach is also suggested based on the desirability function of statistical approach. The suggested aggregation method is robust to the potential dependency between the total cost and the mean availability. It also ensures that both objective functions fall in decision-maker's acceptable region. In order to show the e ciency of the proposed approach, a numerical example is presented and analyzed.

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A Methodology for Analyzing the Transient Availability and Survivability of a System with the Standby Components in Two Cases: The Identical Components and the Non-Identical Components

Cited by 6 publications

References 1 publication

A General Framework for Network Survivability Testing and Evaluation

A General Framework for Network Survivability Testing and Evaluation

Selective Maintenance for Multistate Series Systems With S-Dependent Components

A Multi-Objective Multi-State Degraded System to Optimize Maintenance/Repair Costs and System Availability

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