Reliability assessment of UAV fleets - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Chapitre D'ouvrage Année : 2023

Reliability assessment of UAV fleets

Elena Zaitseva
Connectez-vous pour contacter l'auteur
Vitaly Levashenko
Marina Yelis
Viktors Gopejenko
Ravil Mukhamediev

Résumé

UAVs have a great potential of application for monitoring, search, detection, communication, delivery and transportation of cargo in various sectors of economy. In spite of this, the existing software and hardware, as well as legal limitations, prevent thewide application ofUAVs. There is intensive research related to automation and optimization ofmissions of one or moreUAVs in various application areas. However, the execution of missions of both individual vehicles and their homogeneous or heterogeneous groups depends on the reliability issues of these technical devices, UAVs fleets, and control systems. In this paper, we present models for assessing fleet reliability of UAVs that are managed centralized or decentralized. The method is based on the representation of the fleet as a Binary-State System. The following topologies are considered: (a) a homogenous irredundant drone fleet, (b) a homogenous hot stable redundant drone fleet, (c) a heterogeneous irredundant drone fleet, and (d) a heterogeneous hot stable redundant drone fleet. For the listed topologies, reliability estimates were obtained as a function of the number of primary and redundant UAVs.
Fichier non déposé

Dates et versions

hal-04358402 , version 1 (21-12-2023)

Identifiants

Citer

Elena Zaitseva, Vitaly Levashenko, Nicolae Brinzei, Andriy Kovalenko, Marina Yelis, et al.. Reliability assessment of UAV fleets. Emerging Networking in the Digital Transformation Age, 965, Springer Nature Switzerland, pp.335-357, 2023, Lecture Notes in Electrical Engineering, 978-3-031-24962-4. ⟨10.1007/978-3-031-24963-1_19⟩. ⟨hal-04358402⟩
19 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More