Skip to Main content Skip to Navigation
Conference papers

A Markov Process-Based Approach for Reliability Evaluation of the Propulsion System in Multi-rotor Drones

Abstract : Autonomous multirotor drones as a popular type of Unmanned Aerial Vehicles (UAVs) have a tremendous potential to facilitate activities such as logistics, emergency response, recording video, capturing special events, and traffic management. Despite the potential benefits the possibility of harming people during operation should be considered. This paper focuses on modeling the multirotor drones’ propulsion system with Markov chains. Using the proposed model, both reliability and Mean Time To Failure (MTTF) of the propulsion system are evaluated. This study proposes a fault detection and recovery system based on a Markov Model for mission control of multirotor drones. Concretely, the proposed system aims to reduce potential injuries by increasing safety.
Document type :
Conference papers
Complete list of metadata

Cited literature [9 references]  Display  Hide  Download

https://hal.inria.fr/hal-02295227
Contributor : Hal Ifip <>
Submitted on : Tuesday, September 24, 2019 - 9:55:55 AM
Last modification on : Tuesday, June 29, 2021 - 12:20:08 PM
Long-term archiving on: : Sunday, February 9, 2020 - 3:48:47 PM

File

 Restricted access
To satisfy the distribution rights of the publisher, the document is embargoed until : 2022-01-01

Please log in to resquest access to the document

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Koorosh Aslansefat, Francisco Marques, Ricardo Mendonça, José Barata. A Markov Process-Based Approach for Reliability Evaluation of the Propulsion System in Multi-rotor Drones. 10th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), May 2019, Costa de Caparica, Portugal. pp.91-98, ⟨10.1007/978-3-030-17771-3_8⟩. ⟨hal-02295227⟩

Share

Metrics

Record views

68