Method for evaluating health of aircraft aileron actuator system based on multi-fractal theory and self-organizing map (SOM) network
A technology of self-organizing mapping and fractal theory, which is applied in the field of health assessment of aircraft aileron actuator system, can solve the problems of evaluating its health state limitations, and achieve the effect of smooth health curve, good stability, and good guiding significance
Active Publication Date: 2015-12-09
BEIHANG UNIV
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Abstract
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.
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technical field [0001] The invention relates to an aircraft aileron actuator system health assessment method based on multifractal theory and self-organizing map network. Background technique [0002] With the development of science and technology, the hydraulic actuation system of the aircraft is becoming more and more complex, and the automation level is getting higher and higher. Any failure or failure during the operation of the aircraft will not only cause major economic losses, but may also lead to the destruction of the aircraft. Death. By detecting the operating status of the aircraft, the early diagnosis of the development trend of the fault is carried out, the cause of the fault is found out, and measures are taken to avoid sudden damage to the equipment. Therefore, fault detection can be used to find out whether there is a fault in the system in time, change tasks in time after a fault occurs, or provide support for after-the-fact maintenance. In the field of fa...
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IPC IPC(8): B64F5/00B64F5/60
Inventor 刘红梅李连峰吕琛周博王轩王亚杰
Owner BEIHANG UNIV
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