中国机械工程2013，Vol.24Issue(13)：1719-1723,5.DOI:10.3969/j.issn.1004-132X.2013.13.004
基于谱聚类的振动多模态信号幅谱分割研究与应用
Spectrum Segmentation of Multi—mode Vibration Signals Based on Spectral Clustering
摘要
Abstract
The modal peak in frequency domain was interfered strongly under the strong noise,causing the inaccurate modal parameters,as well as producing modal frequency miscalculation.According to this situation,this paper adopted spectrum clustering algorithms to cluster the vibration spectrum,and come up with a new method for spectrum segmentation.First,according to the concept of wave spectrum,the vibration signal spectrum was divided into pack of waves.For each wave as a sample of clustering,this paper used spectrum clustering to cluster these waves.The wave similarity function,Laplace matrix and clustering algorithm were constructed,and this algorithm was used to cluster automatically.Finally,the clustering result is that a big peak in macroscopic.By the experimental results of simulation signals,this spectrum clustering algorithms can accord with the macroscopic observation of modal separation efficiency,and it is stronger to the noise resistance than that of the existing k—means algorithms.According to the test of a cable,the stability and accuracy of this algorithm is demonstrated again.关键词
多模态幅谱/谱聚类/波峰分割/拉普拉斯矩阵Key words
multimode spectrum/ spectral clustering/ partition peaks of wave/ Laplacian matrix分类
机械制造引用本文复制引用
王丹丹,周宇,叶庆卫,王晓东..基于谱聚类的振动多模态信号幅谱分割研究与应用[J].中国机械工程,2013,24(13):1719-1723,5.基金项目
国家自然科学基金资助项目(61141015) （61141015）
宁波市自然科学基金资助项目(2011A610181) （2011A610181）
