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

Pourgolmohamad, Mohammad; Khayyati, Ahmad; Shiri, Saeed

doi:10.30699/IJRRS.3.1.5

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

Document Type : Original Research Article

Authors

Mohammad Pourgolmohamad ¹

Ahmad Khayyati ¹

Saeed Shiri ²

¹ Mechanical Engineering Department, Sahand University of Technology, Tabriz, Iran

² ACECR Institute of Higher Education, Rasht Branch, Iran

10.30699/IJRRS.3.1.5

Abstract

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.

Keywords

UAV

Reliability

Bayesian Networks

Dynamic Fault Tree

Redundancy

Subjects

Reliability Engineering

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