Reliability analysis of nuclear component cooling water system using semi-Markov process model

This paper addresses a new reliability model, based on energy dissipation, considering performance degradation behaviors. Different from the two-state reliability model and traditional reliability model based on failure rate statistics, this paper focuses on the component energy loss due to its fault evolution, such as fatigue, aging and wear, and presents a reliability model based on the component’s energy dissipation, as well as establishing a power dissipation constrained reliability model for degradation-based reliability assessment. As a demonstration, the proposed method is applied to model and evaluate the failure behavior of the electro-hydrostatic actuation system. The results indicate that the proposed method is effective in describing its life-cycle degradation in the energy field, and provides a reliability assessment based on energy dissipation.

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“…Energies 2019, 12, 3572 6 of 22 and P(S(t) = S N |S(0) = S i ) can be obtained by the recursive method [26]:…”

Section: Multi-state Reliability Model Based On Fedmentioning

confidence: 99%

System Reliability Assessment Based on Energy Dissipation: Modeling and Application in Electro-Hydrostatic Actuation System

Cui

Wang

et al. 2019

Energies

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“…-The multi-state system includes oil flow transmission systems [3]. -The Cooling System for Nuclear Components [4].…”

Section: Introductionmentioning

confidence: 99%

Stochastic model to manage a big data flows in a huge network data

Douhi¹,

Hadi²

2017

ams

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This work discusses the interest of protocol network technologies, to deal with big data and voluminous informations,witch are heavy in front off the physical implementation and programmation actually given, such as IP (Internet protocol) and MPLS (Multiprotocol Label Switching), the interactions between them and their mode of cohabitation, afterwards we will approach the problem of mono path of LSPs based on a bandwidth approach in the form of a nonlinear program of probabilistic decision variables.Finally a stochastic mathematical model in the form of a Markov decision process with hidden information and memory that results in the density of a subgraph representing the correct routing path from end to end, respecting the probability of having such a routing strategy.The work related to this problem was designed based on a purely deterministic model to take into consideration some finesse of the studied system we tried to modelize in stochastic model and besides the results are very encouraging.

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“…Up to now, several kinds of analyzing approaches have been proposed. These methods are mainly classified into five categories: state-space-based approaches (i.e., Markov Chain model method), [8][9][10][11] combinatorial methods including inclusionexclusion principle (IEP) approaches [12][13][14] and sum of disjoint products (SDP) approaches, [15][16][17] simulation methods, [18][19][20][21][22][23] stochastic non-Bernoulli sequence methods, [24][25][26] and other methods. The detailed classifications are shown as listed in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

“…The homogeneous Markov chain models can be used to analyze both repairable and non‐repairable systems with exponentially time‐to‐failure distributed components. As to inhomogeneous Markov chain models, they can be applied to deal with systems with non‐exponent time‐to‐failure distributions components. State‐space‐based methods have shown great merits in systems RAMS (Reliability, Availability, Maintenance, and Safety) analysis.…”

Section: Introductionmentioning

confidence: 99%

Negating a Generalized Cut Sequence: Bridging the Gap Between Dynamic Fault Trees Quantification and Sum of Disjoint Products Methods

Yang

2016

Qual. Reliab. Engng. Int.

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Dynamic fault trees (DFTs) are powerful tools to model industrial systems having dynamic failure mechanisms, such as sequence‐ and function‐dependent failure behaviors. Yet for large and complex DFTs, their quantitative analyses are still of great challenges. Up to now, many researchers have presented several approaches to deal with this problem, and among which, the sum of disjoint products (SDP) methods, such as dynamic binary decision tree, sequential binary decision diagram (SBDD), and improved SBDD, have proven to be an efficient way. In SDP methods, negating a generalized cut sequence is an unavoidable task. Yet, for a complex cut sequence expression where normal, cold and warm spares basic events coexist, its negating operation is still difficult and needs to be further studied. In this paper, based on De Morgan theorem, improved explicit formulas for negating a generalized cut sequences are presented. The new concept of universal set of basic event and its operating rules are proposed to deduce the simplified expressions of general enforcing occurring cut sequences and warm spares occurring cut sequences. To validate the presented approaches, a typical system DFT is analyzed. The results indicate the reasonability and effectiveness of the improved negating formulas. Copyright © 2016 John Wiley & Sons, Ltd.

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Reliability analysis of nuclear component cooling water system using semi-Markov process model

Cited by 20 publications

References 8 publications

System Reliability Assessment Based on Energy Dissipation: Modeling and Application in Electro-Hydrostatic Actuation System

System Reliability Assessment Based on Energy Dissipation: Modeling and Application in Electro-Hydrostatic Actuation System

Stochastic model to manage a big data flows in a huge network data

Negating a Generalized Cut Sequence: Bridging the Gap Between Dynamic Fault Trees Quantification and Sum of Disjoint Products Methods

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