Reliability Analysis of Phased Mission System Based on Micro-Replacment Fault Tree

Author(s):  
Chenyan Liu ◽  
Ruping Wang ◽  
Xin Wang ◽  
Yizhou Zhou ◽  
Wentao Lu
2021 ◽  
Vol 11 (22) ◽  
pp. 10616
Author(s):  
Jingtian Xu ◽  
Man Yang ◽  
Shugang Li

The hardware reliability of a gas monitoring system was investigated using the fuzzy fault tree analysis method. A fault tree was developed considering the hardware failure of the gas monitoring system as a top event. Two minimum path sets were achieved through qualitative analysis using the ascending method. The concept of fuzzy number of the fuzzy set theory was applied to describe the probability of basic event occurrence in the fault tree, and the fuzzy failure probabilities of the middle and top events were calculated using fuzzy AND and OR operators. The results show that the proposed fuzzy fault tree is an effective method of reliability analysis for gas monitoring systems. Results of calculations using this method are more reasonable than those obtained with the conventional fault tree method.


Author(s):  
Ahmad Khayyati ◽  
Mohammad Pourgol-Mohammad

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.


Author(s):  
Wensheng Wang ◽  
Liying Jin ◽  
Xi Sun ◽  
Jing Liu

2013 ◽  
Vol 427-429 ◽  
pp. 1350-1355 ◽  
Author(s):  
Hao Li Wang ◽  
Guo Biao Shi ◽  
Jin Long Cui

A fault tree model of the electric hydraulic power steering controller has been built and the minimum cut sets leading to the fault of system has been found out. Then, the method of count reliability prediction is used to get the failure rate of each basic event and the type of failure distribution. We use MATLAB to get the top event probability and the possibility importance and relative importance of each basic event. Lastly, MATLAB, based on Monte Carlo simulation, is used to make the simulation of fault tree model accurate and to calculate reliability index. The accuracy of this method is verified perfectly by calculating. Especially for complex system, this method of reliability analysis is of great significance.


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