变分模态分解在轴承故障诊断中的应用
wf(2016)
Abstract
通过构造仿真信号,对比分析了 VMD 与 EMD 算法在分解过程中存在的模态混叠、伪分量、端点效应等问题,并将 VMD 算法与谱峭度相结合用于滚动轴承故障信号的分解与重构,通过包络谱分析进行故障判别,结果表明:VMD 算法能实现信号频域内各分量的自适应剖分,在分解性能上优于 EMD 算法,能更好地刻画故障信号的包络谱特征。
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