Blind source separation based vibration mode identification

被引：167
|
作者：
Zhou, Wenliang
Chelidze, David
机构：
[1] LLC, Lang Mekra N Amer, Ridgeway, SC 29130 USA
[2] Univ Rhode Isl, Dept Mech Engn & Appl Mech, Kingston, RI 02881 USA
来源：
MECHANICAL SYSTEMS AND SIGNAL PROCESSING | 2007年 / 21卷 / 08期
基金：
美国国家科学基金会;
关键词：
modal analysis; Blind source separation; Independent component analysis; Vibration tests;
D O I：
10.1016/j.ymssp.2007.05.007
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
In this paper, a novel method for linear normal mode (LNM) identification based on blind source separation (BSS) is introduced. Modal coordinates are considered as a specific case of sources that have certain time structure. This structure makes modal coordinates identifiable by many BSS algorithms. However, algorithms based on second-order statistics are particularly suited for extracting LNMs of a vibration system. Two well-known BSS algorithms are considered. First, algorithm for multiple unknown signals extraction (AMUSE) is used to illustrate the similarity with Ibrahim time domain (ITD) modal identification method. Second, second order blind identification (SOBI) is used to demonstrate noise robustness of BSS-based mode shape extraction. Numerical simulations and experimental results from these BSS algorithms and lTD method are presented. (c) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码：3072 / 3087
页数：16
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