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.

Dynamic Fault Tree Analysis

2020 ◽  
pp. 73-112
Author(s):  
Koorosh Aslansefat ◽  
Sohag Kabir ◽  
Youcef Gheraibia ◽  
Yiannis Papadopoulos
Keyword(s):  
Fault Tree ◽  
Fault Tree Analysis ◽  
Tree Analysis ◽  
Dynamic Fault Tree

scholarly journals Hardware Reliability Analysis of a Coal Mine Gas Monitoring System Based on Fuzzy-FTA

2021 ◽  
Vol 11 (22) ◽  
pp. 10616
Author(s):  
Jingtian Xu ◽  
Man Yang ◽  
Shugang Li
Keyword(s):  
Reliability Analysis ◽  
Monitoring System ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Gas Monitoring ◽  
Hardware Failure ◽  
Minimum Path ◽  
Fuzzy Fault Tree Analysis ◽  
Hardware Reliability ◽  
Tree Method

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.

scholarly journals Modelling and Resolution of Dynamic Reliability Problems by the Coupling of Simulink and the Stochastic Hybrid Fault Tree Object Oriented (SHyFTOO) Library

Information ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 283 ◽  
Author(s):  
Chiacchio ◽  
Aizpurua ◽  
Compagno ◽  
Khodayee ◽  
D’Urso
Keyword(s):  
Deterministic Model ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Object Oriented ◽  
Software Library ◽  
Tree Model ◽  
Dynamic Reliability ◽  
Simulink Model ◽  
Dynamic Fault Tree ◽  
Dependability Analysis

Dependability assessment is one of the most important activities for the analysis of complex systems. Classical analysis techniques of safety, risk, and dependability, like Fault Tree Analysis or Reliability Block Diagrams, are easy to implement, but they estimate inaccurate dependability results due to their simplified hypotheses that assume the components’ malfunctions to be independent from each other and from the system working conditions. Recent contributions within the umbrella of Dynamic Probabilistic Risk Assessment have shown the potential to improve the accuracy of classical dependability analysis methods. Among them, Stochastic Hybrid Fault Tree Automaton (SHyFTA) is a promising methodology because it can combine a Dynamic Fault Tree model with the physics-based deterministic model of a system process, and it can generate dependability metrics along with performance indicators of the physical variables. This paper presents the Stochastic Hybrid Fault Tree Object Oriented (SHyFTOO), a Matlab® software library for the modelling and the resolution of a SHyFTA model. One of the novel features discussed in this contribution is the ease of coupling with a Matlab® Simulink model that facilitates the design of complex system dynamics. To demonstrate the utilization of this software library and the augmented capability of generating further dependability indicators, three different case studies are discussed and solved with a thorough description for the implementation of the corresponding SHyFTA models.

Analysis on Dynamic Fault Tree Based on Fuzzy Set

2011 ◽  
Vol 110-116 ◽  
pp. 2416-2420 ◽  
Author(s):  
Li Ping Yang
Keyword(s):  
Fuzzy Set ◽  
Fault Tree ◽  
Dynamic Logic ◽  
Fault Tree Analysis ◽  
Logic Gates ◽  
Minimum Cut ◽  
Tree Analysis ◽  
Dynamic Fault Tree ◽  
Large Complex System ◽  
Cut Set

In case of fault tree analysis of large complex system, the probability of bottom event in dynamic fault tree is uncertain in some cases. To address the problem, the paper presented a dynamic fault tree analysis method based on fuzzy set computation. The method separates logic attributes and timing attributes of dynamic logic gates. It can convert dynamic fault tree into static fault tree not considering timing constraints and obtain minimum cut set of static fuzzy fault tree with set operations, then the concept of minimum cut set is extended to dynamical minimum cut sequence. Thus, the dynamic fault tree was analyzed in both qualitative and quantitative aspects, which solve the problem that it is difficult to assign value of event probability in previously process.

scholarly journals Maintenance modelling for computer-based systems

2001 ◽  
Vol 215 (3) ◽  
pp. 221-231 ◽  
Author(s):  
L Meshkat ◽  
J B Dugan ◽  
J Andrews
Keyword(s):  
Fault Tree ◽  
Fault Tree Analysis ◽  
System Failure ◽  
Time Schedule ◽  
Functional Capabilities ◽  
Dynamic Fault Tree ◽  
Analysis Methodology ◽  
Expected Performance ◽  
Dependability Analysis ◽  
Computer Based

A framework is presented for incorporating maintenance into a dependability analysis methodology for computer-based systems. Two types of maintenance are considered: failure-driven maintenance and time-driven maintenance. Failure-driven maintenance or repair is carried out when the system (or component) performance deviates from its expected performance and consists of all tasks performed to restore the functional capabilities of failed items, principally diagnosis and repair. Time-driven or scheduled maintenance is conducted on a specific time schedule in order to prevent system failure. There may be dependencies between different components of a system with regard to their maintenance plans. These dependencies arise either because a component has maintenance priority over one or more components or because the maintenance of a certain component implies the maintenance of other components. Constructs are presented for modelling these dependencies in the context of dynamic fault tree analysis and a methodology is developed for solving the fault tree. The dynamic fault tree constructs effectively capture the failure dependencies between components. The approach is illustrated with an example based on a water deluge system.

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