【摘要】 针对轴心轨迹提纯问题,研究了集合经验模式分解(Ensemble empirical modedecomposition,EEMD)抑制模态混叠的特性及其滤波特性,提出了基于EEMD滤波的转子轴心轨迹提纯方法。应用EEMD将信号分解成一系列的固有模式函数(Intrinsic mode function,IMF)分量,再根据先验知识选择相应的IMF分量重构信号,组合成提纯轴心轨迹。对小型转子试验台转子轴心轨迹的成功提纯验证了该方法的有效性,与谐波窗和EMD轴心轨迹提纯方法的对比结果表明了该方法的优势,为转子系统故障诊断提供了一种新的手段。更多还原

【Abstract】 In order to purify rotor orbit,the characteristics of suppressing the phenomenon of mode mixing and filtering in ensemble empirical mode decomposition(EEMD) are studied,and a method of rotor orbit purification is presented.Ensemble empirical mode decomposition decomposes a complicated signal into a collection of intrinsic mode functions(IMFs).Then,according to prior knowledge of rotor system,choose intrinsic mode function components and reconstruct the signal,and,the purification of rotor orbit is obtained.The effectiveness of the method is proved by the successful purification of rotor orbit coming from the test-bed.And,the results of comparing the performances of the proposed method to the harmonic-based and the EMD-based purification of axis orbit method show the advantage of the de-noising method.The method provides a new way for fault diagnosis of rotating machinery.更多还原