CAJ | 학술논문

针对飞行器结构系统声发射信号的非线性与非平稳特征,为实现飞行器结构部件的有效健康监测,提出了基于经验模态分解包络谱的飞行器健康诊断方法.该法首先对由声发射传感器募集到的飞行器关键部件原始声发射信号进行经验模态分解(EMD),提取其固有频率段的固有模态函数(IMF)信息,然后运用Hilbert变换对其进行处理得到各IMF的包络信号,由此可得其包络谱.通过包络谱的特征信息便可实现对飞行器结构部件的健康诊断.将该方法应用于某飞机真实水平尾翼疲劳试验所募集的声发射信号,结果表明,该法可监测出飞行器水平尾翼的健康状态,适用于飞行器结构部件的健康监测.
침대비행기결구계통성발사신호적비선성여비평은특정,위실현비행기결구부건적유효건강감측,제출료기우경험모태분해포락보적비행기건강진단방법.해법수선대유성발사전감기모집도적비행기관건부건원시성발사신호진행경험모태분해(EMD),제취기고유빈솔단적고유모태함수(IMF)신식,연후운용Hilbert변환대기진행처리득도각IMF적포락신호,유차가득기포락보.통과포락보적특정신식편가실현대비행기결구부건적건강진단.장해방법응용우모비궤진실수평미익피로시험소모집적성발사신호,결과표명,해법가감측출비행기수평미익적건강상태,괄용우비행기결구부건적건강감측.
According to the non-linearity and non-stationary of the aircraft acoustic emission (AE) signals,a health diagnosis approach based on empirical mode decomposition (EMD) envelope spectrum was proposed to effectivly monitor the aircraft structural components' health.In this approach,the AE signals of the aircraft key parts were decomposed into number of IMF,and then the envelope spectrum was obtained by Hilbert transform.Finally,the aircraft structural components' health monitoring can be implemented through the fault signal characteristic information.This method was used to analyze the AE signal in the fatigue test of the horizontal tail,and the results showed that this method can highlight the aircraft fault signal characteristics and increase the accuracy of fault diagnosis.