CAJ | 학술논문

为了解决旋转机械内部碰摩声发射信号源难以准确定位的问题，首先分析了近场声发射信号传播的数学模型，提出了一种经验模式分解( EMD)结合近场多重信号分类( MUSIC)的声发射源位置的定位方法：其利用EMD对信号的自适应分解特性，将各传感器接收的信号分解为几个本征模态函数( IMF)，再对与声发射源信号对应的IMF进行近场MUSIC算法，通过对距离和方位角的二维联合估计从而实现声发射源的定位。仿真结果表明结合EMD处理的近场MUSIC方法能有效的检测出在强干扰(目标)下的弱声发射信号源位置特征。
위료해결선전궤계내부팽마성발사신호원난이준학정위적문제，수선분석료근장성발사신호전파적수학모형，제출료일충경험모식분해( EMD)결합근장다중신호분류( MUSIC)적성발사원위치적정위방법：기이용EMD대신호적자괄응분해특성，장각전감기접수적신호분해위궤개본정모태함수( IMF)，재대여성발사원신호대응적IMF진행근장MUSIC산법，통과대거리화방위각적이유연합고계종이실현성발사원적정위。방진결과표명결합EMD처리적근장MUSIC방법능유효적검측출재강간우(목표)하적약성발사신호원위치특정。
In order to research and realize the localization rub fault in rotating machinery base on acoustic emis-sion ( AE) signals and to improve the accuracy of localization, firstly, we analysed the propagation of the acoustic e-mission in near-field model, and presented a new location method of acoustic emission in which the empirical model decomposition ( EMD) was used in connection with the multiple signal classification ( MUSIC) method. The signal of every senor was decomposed into a number of intrinsic mode functions ( IMF) by making use of EMD's self-adaptive decomposing property. Then, the MUSIC method was used to deal with AE source related IMF, by means of distance and azimuth joint estimation to achieve the AE source location. The simulation results show that EMD connection with MUSIC method can effectively detect the position of weak AE source under strong interference.