CAJ | 학술논문

在改进形态分量分析阈值去噪方法的基础上，提出了基于形态分量分析的滚动轴承故障诊断方法。形态分量分析根据信号中各组成成分的形态差异，构建不同的稀疏表示字典对各组成成分进行分离。当轴承出现局部损伤时，其振动信号往往由以包含轴承自身振动的谐振分量、包含轴承故障信息的冲击分量及随机噪声分量构成。谐振分量表现为信号中的平滑部分，而冲击分量则表现为信号中的细节部分，因此，可根据谐振分量与冲击分量的形态差异，实现二者的分离。该方法利用形态分量分析对滚动轴承故障信号中的谐振分量、冲击分量和噪声分量进行分离，然后根据冲击分量中冲击之间的时间间隔诊断滚动轴承故障。算法仿真和应用实例表明，该方法能有效地提取滚动轴承故障振动信号中的故障冲击成分。
재개진형태분량분석역치거조방법적기출상，제출료기우형태분량분석적곤동축승고장진단방법。형태분량분석근거신호중각조성성분적형태차이，구건불동적희소표시자전대각조성성분진행분리。당축승출현국부손상시，기진동신호왕왕유이포함축승자신진동적해진분량、포함축승고장신식적충격분량급수궤조성분량구성。해진분량표현위신호중적평활부분，이충격분량칙표현위신호중적세절부분，인차，가근거해진분량여충격분량적형태차이，실현이자적분리。해방법이용형태분량분석대곤동축승고장신호중적해진분량、충격분량화조성분량진행분리，연후근거충격분량중충격지간적시간간격진단곤동축승고장。산법방진화응용실례표명，해방법능유효지제취곤동축승고장진동신호중적고장충격성분。
Based on the improvement of the threshold denoising method of morphological component analysis (MCA),a new method for fault diagnosis of rolling bearings based on MCA was proposed.According to the morphological difference of each component,different sparse dictionaries were built with MCA to separate each component from a signal. When a rolling bearing was locally damaged,its vibration signal was often composed of harmonic components with system characteristics of the rolling bearing,impulse components with fault information and random noise. The harmonic components represented the smooth part of the vibration signal,while the impulse components represented the detail part of the vibration signal,therefore,the two kinds of components could be separated according to the morphological difference .The harmonic components,impulse components and random noise component were separated from the vibration signal of a fault rolling bearing by using MCA,and the fault diagnosis of rolling bearing was carried out according to the time interval of impulses in the impulse components.The simulation and application examples proved that the proposed method is effective in extracting the fault impulse components from the vibration signal of a locally damaged rolling bearing.