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http://dx.doi.org/10.20910/JASE.2017.11.4.22

Fault Detection of Small Turbojet Engine for UAV Using Unscented Kalman Filter and Sequential Probability Ratio Test  

Han, Dong Ju (Dept. of Aircraft Maintenance Engineering, Kukdong University)
Publication Information
Journal of Aerospace System Engineering / v.11, no.4, 2017 , pp. 22-29 More about this Journal
Abstract
A study is performed for the effective detection method of a fault which is occurred during operation in a small turbojet engine with non-linear characteristics used by unmanned air vehicle. For this study the non-linear dynamic model of the engine is derived from transient thermodynamic cycle analysis. Also for inducing real operation conditions the controller is developed associated with unscented Kalman filter to estimate noises. Sequential probability ratio test is introduced as a real time method to detect a fault which is manipulated for simulation as a malfunction of rotational speed sensor contaminated by large amount of noise. The method applied to the fault detection during operation verifies its effectiveness and high feasibility by showing good and definite decision performances of the fault.
Keywords
Fault Detection; Sequential Probability Ratio Test; Small Turbojet Engine; Unscented Kalman Filter; Unmanned Air Vehicle;
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Times Cited By KSCI : 2  (Citation Analysis)
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