“…Nanda et al [6] compared system algebra with other popular approaches such as RBD and FTA on the flight control system of Boeing 777 and Airbus A380 aircraft.…”
Unmanned Aerial Vehicles (UAV) are increasingly being popular in many applications. Their operation requires a high level of safety and reliability to accomplish successful missions. In this study, their reliability is comparatively analyzed by different available approaches to select the efficient method. Firstly, the failure model of the system is developed. Then, three different scenarios are considered to study the effect of redundancies on the reliability of the system. In the first scenario, there is no redundancy, whereas in the second scenario there is one redundant component and in the third scenario, there are three redundant components. Static reliability analysis implemented on the proposed scenarios using methods of Fault Tree Analysis (FTA), Reliability Block Diagram (RBD), Markov Chain (MC), and Bayesian Networks (BN) and the results are obtained. Also, regarding the time dependencies between redundant components, a dynamic-based methodology is developed by applying Dynamic Fault Tree (DFT) analysis. Then, the proposed static and dynamic approaches are applied to a UAV as a case study and the results are discussed. Finally, the characteristics of each methodology and the related conditions are clarified for selecting the efficient reliability analysis approach.
“…Nanda et al [6] compared system algebra with other popular approaches such as RBD and FTA on the flight control system of Boeing 777 and Airbus A380 aircraft.…”
Unmanned Aerial Vehicles (UAV) are increasingly being popular in many applications. Their operation requires a high level of safety and reliability to accomplish successful missions. In this study, their reliability is comparatively analyzed by different available approaches to select the efficient method. Firstly, the failure model of the system is developed. Then, three different scenarios are considered to study the effect of redundancies on the reliability of the system. In the first scenario, there is no redundancy, whereas in the second scenario there is one redundant component and in the third scenario, there are three redundant components. Static reliability analysis implemented on the proposed scenarios using methods of Fault Tree Analysis (FTA), Reliability Block Diagram (RBD), Markov Chain (MC), and Bayesian Networks (BN) and the results are obtained. Also, regarding the time dependencies between redundant components, a dynamic-based methodology is developed by applying Dynamic Fault Tree (DFT) analysis. Then, the proposed static and dynamic approaches are applied to a UAV as a case study and the results are discussed. Finally, the characteristics of each methodology and the related conditions are clarified for selecting the efficient reliability analysis approach.
Abstract. With the increase in processing power of computers, proliferation of specialized software and hardware, and the availability of greater communications bandwidth, it is possible to deploy more demanding modern Distributed Interactive Multimedia Applications such as World Opera. The World Opera application realizes the vision of a distributed real-time opera performance in which artists who are distributed around the globe are interacting with each other as though they were co-located. The application is driven by the artistic consortium that encompasses several major opera houses worldwide.In this paper, we build a high-level reliability model to predict the system reliability of the deployed architecture for supporting World Opera. Furthermore, we conduct a sensitivity analysis to understand the reliability requirements that individual components need to meet in order to provide desired system reliability.
“…In addition, in this concept the conditional strategy has been used alone in Haghighi et.al. [7]and Haghighi and Costagliola [6]. The aforementioned paper uses the conditional method for the estimation of the Weibull parameters and introduces a new control chart for the Weibull quantile function.…”
In this paper, the conditional estimation of the Weibull and its related parameters are introduced. Some interesting properties of this estimator in contrast with the well-known maximum likelihood estimators have been investigated. This task is done under the famous sampling plan type-ii censoring scheme. Because of the complex behavior in the calculation of the likelihood function of the presented scheme in this situation without loss of generality, this problem fixed with the Gumbel (log-Weibull) model. The one to one transformation between these models and satisfying in their parameters enabling us for utilizing this alternative model. Finally, the comparison of this method and maximum likelihood estimation are provided through some numerical results.
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