scholarly journals Reliability analysis of station autonomous computer system based on fuzzy dynamic fault tree and Markov model

2021 ◽  
Author(s):  
Lu Yan ◽  
Tao Zhang ◽  
Ying Gao ◽  
Rongsheng Wang ◽  
Shuxin Ding
Keyword(s):  
Markov Model ◽  
Reliability Analysis ◽  
Computer System ◽  
Fault Tree ◽  
Dynamic Fault Tree

Developing an Efficient Approach for Unmanned Aerial Vehicle Reliability Analysis

2020 ◽  
Author(s):  
Ahmad Khayyati ◽  
Mohammad Pourgol-Mohammad
Keyword(s):  
Reliability Analysis ◽  
Block Diagram ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Dynamic Fault Tree ◽  
Safety And Reliability ◽  
Time Dependencies ◽  
Aerial Vehicle ◽  
Redundant Component ◽  
High Level

Abstract Unmanned Aerial Vehicles (UAV) are increasingly get popularity in many applications. Their operation requires high level of safety and reliability to accomplish successful missions. In this study, the reliability was comparatively analyzed by different available approaches to select the efficient method. First, failure model of the system is developed. Then, three different scenarios are considered to study the effect of redundancies on the system reliability results. In the first scenario, there is no redundancy where in the second scenario there is only one redundant component and in the third scenario, there are three redundant components. Static reliability analysis such as Fault Tree Analysis (FTA), Reliability Block Diagram (RBD), Markov Chain (MC), and Bayesian Networks (BN) are applied on proposed scenarios and results are obtained. Regarding to time dependencies between redundant components, a dynamic-based methodology is also developed in this study through applying Dynamic Fault Tree (DFT) analysis. Proposed static and dynamic approaches are applied on an UAV as a case study and results are discussed. Finally, characteristics of each methodology and related conditions are clarified for selecting the efficient reliability analysis approach.

Reliability Analysis of Plug Door System Based on Dynamic Fault Tree

2014 ◽  
Vol 627 ◽  
pp. 207-211
Author(s):  
Yan Hui Wang ◽  
Li Feng Bi ◽  
Li Jie Li
Keyword(s):  
Reliability Analysis ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Deep Understanding ◽  
Structural Redundancy ◽  
Tree Model ◽  
Dynamic Fault Tree ◽  
Working Principle ◽  
Ontology Module ◽  
Markov Method

The plug door system is an important guarantee of the safe operation of the emu, since it has structural redundancy, correlation function and fault dynamic characteristics, this paper uses the dynamic fault tree analysis method for reliability analysis. In deep understanding of the basis of the structure and working principle of the plug door, dynamic fault tree model is established by the way of structure ontology, Module iteration is introduced , and the Markov method is adopted to solve the reliability. At the last, we obtained the equipment failure rate and the reliability of the whole system.

The Reliability Analysis and Simulation Method of Train Control System Based on Markov

2014 ◽  
Vol 556-562 ◽  
pp. 2333-2336
Author(s):  
Shang Guan Wei ◽  
Jie Xiao ◽  
Bai Gen Cai ◽  
Jian Wang
Keyword(s):  
Control System ◽  
Quantitative Analysis ◽  
Reliability Analysis ◽  
Fault Tree ◽  
Simulation Method ◽  
Train Control ◽  
Dynamic Fault Tree ◽  
Train Control System ◽  
Markov Method ◽  
Tree Method

This paper mainly studies the reliability of trackside subsystem of the CTCS-3 train control system. Dynamic fault tree method is used for reliability analysis. The fault tree is decomposed into static and dynamic sub-trees. Based on Markov method, precise quantitative analysis is performed on the dynamic sub-tree. The failure probability of the trackside subsystem is calculated. Through analyzing the structural importance degree and pivotal importance degree of the bottom events, suggestions for improving the reliability of the system are concluded.

Dynamic Fault Tree Based on Weibull Distribution

2011 ◽  
Vol 308-310 ◽  
pp. 1322-1327
Author(s):  
Wei Gang Guo ◽  
Wei Han ◽  
Shu Yan Liu
Keyword(s):  
Markov Model ◽  
Weibull Distribution ◽  
Markov Models ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Analysis Method ◽  
Tree Analysis ◽  
Dynamic Fault Tree ◽  
Complex Interactions ◽  
Quantitative Analysis Method

The fault tree analysis is a widely used method for evaluation of systems reliability and safety. Dynamic fault tree (DFT) extend traditional FT by defining additional gates called dynamic gates to model these complex interactions. Markov models are used in solving dynamic gates. However, state space becomes too large for calculation with Markov models when the number of gate inputs increases. In addition, Markov model is applicable for only exponential failure and repair distributions. But in engineering, the failure mode is mostly obeyed to weibull distribution for mechanism and electronic units. Combined the weibull distribution and Markov model, this paper presents dynamic fault tree quantitative analysis method based on weibull distribution.

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