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基于峭度的VMD分解中k值的确定方法研究
Authors
吴文轩
张纪平
+3 more
王俊元
王志坚
马维金
Publication date
1 January 2018
Publisher
Editorial Office of Journal of Mechanical Transmission
Doi
Cite
Abstract
在变分模态分解(Variational mode decomposition,VMD)中,因为分解层数k值属于自定义变量,所以在取值时分解结果会随着k值的变化而得到不同的结果,k值的取值直接影响着结果的准确性,k值取得过大或者过小都会对结果造成影响。基于以上问题,提出了一种利用峭度确定k值的方法。选取k值为2n的整数,计算当k值为2n时,每一个k值相关系数最大分量的峭度,并绘制峭度的变化曲线,若在该曲线内峭度没有峰值且单调递增,则继续计算当k为n+1时相关系数最大分量的峭度值,重复以上步骤,以峭度最大作为优化的标准,当峭度最大的时候,k为最佳值。用实际故障信号验证了方法的可行性,为VMD方法的研究提出了一种新的思路
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Last time updated on 06/04/2023