Predicting the Health Status of an Unmanned Aerial Vehicles Data-Link System Based on a Bayesian Network

Predicting the Health Status of an Unmanned Aerial Vehicles Data-Link System Based on a Bayesian Network

Unmanned aerial vehicles (UAVs) require data-link system to link ground data terminals to the real-time controls of each UAV. Consequently, the ability to predict the health status of a UAV data-link system is vital for safe and efficient operations. The performance of a UAV data-link system is affe...

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Bibliographic Details
Main Authors: Xiaohong Wang, Hongzhou Guo, Jingbin Wang, Lizhi Wang
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Sensors
Subjects:
UAV data-link system
Bayesian networks
health status prediction
networking mode
bit error rate
Online Access:https://www.mdpi.com/1424-8220/18/11/3916

Internet

https://www.mdpi.com/1424-8220/18/11/3916

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