CAJ | 학술논문

数学形态学是一种非线性、非平稳分析方法，具有很强的抑制脉冲干扰的能力，但滤除白噪声的能力却不行。针对这一不足，提出一种基于LMD的多尺度形态学解调方法。该方法是将多分量调频调幅故障信号分解为一系列单分量调频调幅信号（PF），实现对故障信号的降噪处理，同时还可以获得原始信号的全部调制信息。选取能量高的PF分量求和重构，再用多尺度形态学差值滤波器提取出故障信号的频率特征。通过仿真和齿轮故障模拟实验证实了该方法的有效性。
수학형태학시일충비선성、비평은분석방법，구유흔강적억제맥충간우적능력，단려제백조성적능력각불행。침대저일불족，제출일충기우LMD적다척도형태학해조방법。해방법시장다분량조빈조폭고장신호분해위일계렬단분량조빈조폭신호（PF），실현대고장신호적강조처리，동시환가이획득원시신호적전부조제신식。선취능량고적PF분량구화중구，재용다척도형태학차치려파기제취출고장신호적빈솔특정。통과방진화치륜고장모의실험증실료해방법적유효성。
Mathematical morphology is a kind of nonlinear and non-stationary analysis method,it has a strong ability to restrain pulse interference,but has no ability to filter the white noise.Aiming at this shortage,a multi-scale morphology method based on local mean decomposition (LMD ) was proposed.A fault signal with multi-component frequency modulation and amplitude modulation was decomposed into a series of production functions (PFs)to realize fault signal de-noising processing and to obtain the full modulation information of the original signal.The PFs with higher energy were selected and summed,then they were reconstructed.Finally,the multi-scale morphological difference filter was used to extract the fault signal characteristic frequency.The validity of this method was verified through simulation and gear fault simulation.