噪声与振动控制2017，Vol.37Issue(4)：160-165,6.DOI:10.3969/j.issn.1006-1355.2017.04.031
变分模态分解和K-L散度在振动筛轴承故障诊断中的应用
Application of Variational Modal Decomposition and K-L Divergence to Bearing Fault Diagnosis of Vibrating Screens
摘要
Abstract
Vibrating screen is a kind of vibrating equipment in the field of vibrating machines, whose characteristics of structure and principle of operation are quite different from those of rotating machinery. Therefore, there is a large difference between the vibration signals extracted from the two different kind of machines. The vibration signals emanating from the vibrating screens contain a great deal of background noise as well as complex components. The mode decomposition algorithm is an effective method for this type of signals. The mode decomposition method can remove the background noise a great deal. Simultaneously, it can decompose the given signal into a series of mono-components to find physical meanings of the vibration signal. On this basis, a new non-recursive Variational Mode Decomposition (VMD) method is presented in this paper. This method can avoid the mode mixing and has a better robustness. This method firstly decomposes a fault signal into several different unknown modes, and then K-L divergence method is employed to select the sensitive modes. Eventually, the fault frequency of the selected modes is detected by envelope demodulation. The results of simulation and bearing fault experiments of the vibrating screen indicate that the proposed method can effectively extract fault features. In comparison with previous mode decomposition methods, such as Empirical Mode Decomposition (EMD) and Ensemble Empirical Mode Decomposition (EEMD), the feasibility and superiority of this method is verified.关键词
振动与波/振动筛/轴承故障诊断/变分模态分解/经验模态分解/集成经验模态分解Key words
vibration and wave/vibrating screen/bearing fault diagnosis/variational mode decomposition/empirical mode decomposition/ensemble empirical mode decomposition分类
机械制造引用本文复制引用
徐元博,蔡宗琰..变分模态分解和K-L散度在振动筛轴承故障诊断中的应用[J].噪声与振动控制,2017,37(4):160-165,6.基金项目
中央高校教育教学改革专项经费建设项目资助(jgy16049、0012-310600161000) （jgy16049、0012-310600161000）
中央高校基本科研业务费专项资金资助(310825153313) （310825153313）
