The invention discloses a method for evaluating the health of an aircraft aileron actuator system based on the multi-fractal theory and the self-organizing map (SOM) network. The method comprises the following steps that firstly, residual error data are obtained by virtue of a fault observer established by the aircraft aileron actuator system; secondly, a residual error signal is subjected to deep excavation for system health information by a multi-fractal detrended fluctuation analysis method; and thirdly, an acquired generalized Hurst index is input into the SOM network to evaluate the health condition of the aircraft aileron actuator system. The validity of the method is verified by combining simulation data of four common typical fault modes of an aileron actuator, and experiment results indicate that the method can be used for effectively evaluating the health condition of the aileron actuator system.
Method for evaluating health of aircraft aileron actuator system based on multi-fractal theory and self-organizing map (SOM) network
2015-12-09
Patent
Electronic Resource
English
IPC: | B64F GROUND OR AIRCRAFT-CARRIER-DECK INSTALLATIONS SPECIALLY ADAPTED FOR USE IN CONNECTION WITH AIRCRAFT , Boden- oder Flugzeugträgerdeckeinrichtungen besonders ausgebildet für die Verwendung in Verbindung mit Luftfahrzeugen |