Journal article
Diagnosis of airspeed measurement faults for unmanned aerial vehicles
Airspeed sensor faults are common causes for incidents with unmanned aerial vehicles with pitot tube clogging or icing being the most common causes. Timely diagnosis of such faults or other artifacts in signals from airspeed sensing systems could potentially prevent crashes. This paper employs parameter adaptive estimators to provide analytical redundancies and a dedicated diagnosis scheme is designed.
Robustness is investigated on sets of flight data to estimate distributions of test statistics. The result is robust diagnosis with adequate balance between false alarm rate and fault detectability.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2014 |
| Pages: | 224-239 |
| ISSN: | 23719877 , 00189251 and 15579603 |
| Types: | Journal article |
| DOI: | 10.1109/TAES.2013.120420 |
| ORCIDs: | Hansen, Søren and Blanke, Mogens |
Adaptive observer Aircraft fault detection Airspeed sensor fault Change detection Fault diagnosis Pitot tube defect UAV
Aerospace electronics Mathematical model Pressure measurement Propellers Unmanned aerial vehicles accident prevention air accidents air safety airspeed measurement fault diagnosis airspeed sensing systems airspeed sensor faults analytical redundancies autonomous aerial vehicles crash prevention false alarm rate fault detectability fault diagnosis flight data icing parameter adaptive estimators robust diagnosis sensors statistical distributions test statistics distribution estimation tube clogging unmanned aerial vehicles velocity measurement
