广义变分模态分解及其在齿轮箱复合故障诊断中的应用

发布时间：2018-06-18 20:49

本文选题：广义变分模态分解 + 齿轮箱　；参考：《中国机械工程》2017年09期

【摘要】：针对变分模态分解在实际应用过程中需要根据先验知识确定惩罚函数和分量分解个数这一缺陷,提出了一种改进方法,即广义变分模态分解方法。该方法减少了人为因素对分解结果造成的主观影响,将信号分解转化为非递归、变分模态分解方式,能够有效分离频率成分相近的谐波分量,且对信噪比较小的信号有着良好的鲁棒性。将该方法应用于齿轮箱复合故障诊断中,仿真和实验的结果验证了该方法的有效性。
[Abstract]:In order to solve the problem that it is necessary to determine the number of penalty function and component decomposition according to prior knowledge in the practical application of variational mode decomposition, an improved method, generalized variational mode decomposition method, is proposed in this paper. This method reduces the subjective influence of human factors on the decomposition results, and converts the signal decomposition into non-recursive, variational mode decomposition, which can effectively separate harmonic components with similar frequency components. And it has good robustness to the signal with low signal-to-noise ratio (SNR). The method is applied to the gearbox complex fault diagnosis. The simulation and experimental results show that the method is effective.
【作者单位】：湖南大学汽车车身先进设计制造国家重点实验室;
【基金】：国家重点研发计划资助项目(2016YFF0203400) 国家自然科学基金资助项目(51575168,51375152) 智能型新能源汽车国家2011协同创新中心湖南省绿色汽车2011协同创新中心资助项目
【分类号】：TH132.41

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