CAJ | 학술논문

针对旋转机械在故障和正常状况下的旋转振动信号存在频率差异的特点,给出了差异度的信息分离方法。依据该方法筛选出有用的IMF分量,求取这些IMF分量的能量特征。把这一系列特征向量送入分类器进行分类,从而可以实时、高效的对旋转机械进行诊断,并完成故障分类。
침대선전궤계재고장화정상상황하적선전진동신호존재빈솔차이적특점,급출료차이도적신식분리방법。의거해방법사선출유용적IMF분량,구취저사IMF분량적능량특정。파저일계렬특정향량송입분류기진행분류,종이가이실시、고효적대선전궤계진행진단,병완성고장분류。
Aiming at the fault and normal condition of rotational vibration signal in the presence of the same fre- quency and different characteristics, a difference degree separation method has presented based on the theory of Hilbert Huang transform （HHT）. Screening out the useful component IMF via the presented method, and chase down the IMF components of the energy characteristics. Then send the series of eigenvector into the classifier, which can real-time, high efficiency to the diagnosis and fault classification of the rotating machinery .