Modeling Reliability of UAV by Markov Method

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Raee Jalal; Nadjafi Mohammad; FalahatNia Mahmood

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Journal Paper

Paper Information

Journal: JOURNAL OF TECHNOLOGY IN AEROSPACE ENGINEERING Year:2022 | Volume:6 | Issue:4 Page(s): 1-12

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Information Journal Paper

Title

Modeling Reliability of UAV by Markov Method

Author(s)

Raee Jalal | Nadjafi Mohammad | FalahatNia Mahmood | Issue Writer Certificate

Keywords

Markov Modeling

Reliability Indices Prediction

Fixed Failure/Repair Rate

UAV

Abstract

In general, there are various analytical methods to evaluate the reliability of repairable and non-repairable systems, and in particular prediction. Reliability prediction is one of the most common forms of reliability analysis that is used to estimate and predict failure rate, reliability, availability, and mean time-to-failure of components and the whole system. Markov is a method for modeling the stochastic behavior of systems that are continuously or continuously changing over time or in space. These predictions are used to evaluate design feasibility, compare alternative designs, identify potential failure areas, compromise system design factors, and detection/ Tracing reliability improvements. In this paper, in order to predict the reliability assessment indices in the UAVs and based on the Markov analysis method, a model based on the fixed failure and repair rates has been proposed; The derived and proposed relations in this study have the ability to generalize to other types of drone.

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