Multistate UAV system reliability modelling and analysis with a random mission plan

The success of missions and related costs has always been one of the concerns of researchers and due to the sensitivity and variety of missions, this issue is more important today. In the past decade, group fly is more investigated because of their influence on the quantity and quality of missions. In this research, an Unmanned Air Vehicle (UAV) system that includes several UAVs that has a parallel structure and able to perform different missions to detect, follow and attack, has been considered. The UAV success rate is be defined according to the UAV conditions, the amount of failure, and the type of failure. it is assumed that its failure rate is not constant and has multistate behavior, also It has the ability to perform different operations assigned randomly, Universal generation function, and Markov chain methods for modeling are be developed. A UAV system has been considered and, the ability and accuracy of these methods are be demonstrated.