TY - JOUR ID - 115429 TI - Development of an Efficient Approach for Reliability Analysis Using the Comparative Study of Several Static and Dynamic Methods; Case Study of an Unmanned Aerial Vehicle JO - International Journal of Reliability, Risk and Safety: Theory and Application JA - IJRRS LA - en SN - AU - Pourgolmohamad, Mohammad AU - Khayyati, Ahmad AU - Shiri, Saeed AD - Mechanical Engineering Department, Sahand University of Technology, Tabriz, Iran AD - ACECR Institute of Higher Education, Rasht Branch, Iran Y1 - 2020 PY - 2020 VL - 3 IS - 1 SP - 45 EP - 53 KW - UAV KW - Reliability KW - Bayesian networks KW - Dynamic Fault Tree KW - redundancy DO - 10.30699/IJRRS.3.1.5 N2 - 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. UR - http://www.ijrrs.com/article_115429.html L1 - http://www.ijrrs.com/article_115429_a9246097cb9855b3487846402e4310e2.pdf ER -