Finally, VMD-FRFT is applied to the fault diagnosis of uniform acceleration rolling bearings, which can provide an effective filtering algorithm for the extraction of fundamental frequency and frequency multiplication of instantaneous frequency. Therefore, the VMD-FRFT proposed in this paper has certain ...
【摘要】提出了一种基于样本熵(SE)和峭度均方差(KSD)优化的分数阶变分模态分解(FRFT-VMD)的故障特征提取方法,同时结合随机森林(RF)分类器对故障进行自动识别分类。针对分数阶傅里叶变换中阶次选择对于数据可分性影响较大的问题,提出利用搜寻样本熵最小值来得到分数阶最优阶次,使得数据中重叠交叉部分在分数域内能更...
In this paper, the method of feature extraction of rolling bearings combined with Variational Mode Decomposition (VMD) and Fractional Fourier Transform (FRFT) is used. First, the original vibration signal is decomposed by VMD to obtain several intrinsic mode component functions (IMF). The component...