Vibration Analysis for Anomaly Detection in Unmanned Aircraft

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Unmanned aircraft systems are increasingly operating in sensitive airspace which involves risks about the implications of drone activity. As a result, managing safer operations will be crucial to success for the operators. Vibration analysis can provide a detailed examination of drone health status by examining signal levels and frequencies. Thus, this paper investigates how vibration measurements from drone flights can be analysed to infer the condition of the mechanical integrity of the drone. The method should ascertain whether a vibration analysis algorithm can detect major fault progress in drone flights. In order to track and monitor the anomalies on the drone, the research proposes the periodogram method on the vibration data from on-board vibration sensors. The method was tested with an unmanned aircraft with and without full payload, and the results provide support for the proposed algorithm, with the ability to determine anomaly from an unsteady flight but those results being preliminary to further research. This suggests that further drone safety research can use the same signal processing method regarding vibration related anomalies.
OriginalsprogEngelsk
TitelANNUAL CONFERENCE OF THE PROGNOSTICS AND HEALTH MANAGEMENT SOCIETY 2020
RedaktørerAbhinav Saxena
Antal sider10
Vol/bind12
ForlagPHM Society
Publikationsdato3 nov. 2020
Udgave1
ISBN (Trykt)978-1-936263-33-2
DOI
StatusUdgivet - 3 nov. 2020
BegivenhedANNUAL CONFERENCE OF THE PROGNOSTICS AND HEALTH MANAGEMENT SOCIETY 2020 - Virtuel konference
Varighed: 9 nov. 202013 nov. 2020

Konference

KonferenceANNUAL CONFERENCE OF THE PROGNOSTICS AND HEALTH MANAGEMENT SOCIETY 2020
LokationVirtuel konference
Periode09/11/202013/11/2020

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