CAJ | 학술논문

应用形态滤波和HHT提取滚动轴承振动信号故障特征。通过形态组合滤波对信号进行预处理，对预处理后的信号进行EMD分解，把信号分解为若干个IMF的和，之后计算IMF的希尔伯特能量谱，提取振动信号的故障特征频率。本算法能够较准确地提取出滚动轴承振动信号的故障特征频率，为滚动轴承振动检测与故障诊断研究提供参考。
응용형태려파화HHT제취곤동축승진동신호고장특정。통과형태조합려파대신호진행예처리，대예처리후적신호진행EMD분해，파신호분해위약간개IMF적화，지후계산IMF적희이백특능량보，제취진동신호적고장특정빈솔。본산법능구교준학지제취출곤동축승진동신호적고장특정빈솔，위곤동축승진동검측여고장진단연구제공삼고。
Both morphological filtering and HHT were used to extract the fault feature of rolling bearings , in which , the morphological filtering preprocesses the signal before implementing EMD on it for the sum of some IMFs, and then it calculates IMFs ’ Hilbert energy spectrum to extract fault characteristic frequency of the roll-ing bearing ’ s vibration signal , this provides the reference for the rolling bearing ’ s vibration detection and fault diagnosis .