4.5 Review

UAV Fault Detection Methods, State-of-the-Art

Journal

DRONES
Volume 6, Issue 11, Pages -

Publisher

MDPI
DOI: 10.3390/drones6110330

Keywords

fault detection; FDI; fault-tolerant; unmanned aerial vehicle; UAV

Categories

Funding

  1. Faculty of Automatic Control, Robotics & Electrical Engineering of Poznan University of Technology [0214/SBAD/0237]

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The continual expansion of UAV applications leads to development of more sophisticated systems and increased likelihood of component failure. This review article summarizes recent research on fault detection in unmanned flying systems, analyzing articles published between 2016 and 2022 using Web of Science and Google Scholar databases. Terminology related to UAV fault detection was used as keywords for searching and summarizing important details of each article in a table.
The continual expansion of the range of applications for unmanned aerial vehicles (UAVs) is resulting in the development of more and more sophisticated systems. The greater the complexity of the UAV, the greater the likelihood that a component will fail. Due to the fact that drones often operate in close proximity to humans, the reliability of flying robots, which directly affects the level of safety, is becoming more important. This review article presents recent research works on fault detection on unmanned flying systems. They include papers published between January 2016 and August 2022. Web of Science and Google Scholar databases were used to search for articles. Terminology related to fault detection of unmanned aerial vehicles was used as keywords. The articles were analyzed, each paper was briefly summarized and the most important details concerning each of the described articles were summarized in the table.

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