Operation modal analysis following fast independent component analysis

被引：1

作者：

Wang, Cheng ^{[1
,2
]}

Wang, Jianying ^{[1
]}

Lai, Xiongming ^{[3
]}

Zhong, Bineng ^{[1
]}

Luo, Xiangyu ^{[1
]}

Ying, Hui ^{[1
]}

Yan, Guirong ^{[2
]}

Chen, Weibin ^{[1
]}

Li, Jing ^{[1
]}

机构：

[1] HuaQiao Univ, Coll Comp Sci & Technol, 668 Jimei Rd, Xiamen 361021, Fujian, Peoples R China

[2] Xi An Jiao Tong Univ, State Key Lab Strength & Vibrat Mech Struct, Xian, Shaanxi, Peoples R China

[3] HuaQiao Univ, Coll Mech & Automat, Xiamen, Fujian, Peoples R China

来源：

INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS | 2016年 / 52卷 / 1-2期

基金：

中国国家自然科学基金; 中国博士后科学基金;

关键词：

Operation modal analysis; natural frequencies; mode shapes; fast independent component analysis; negative entropy; Newton iteration; ALGORITHMS;

D O I：

10.3233/JAE-162201

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Because excellent properties of the fixed-point iteration algorithm of fast independent component analysis algorithm (FastICA) and better statistical properties of negative entropy and Newton iteration, a FastICA effectively combining negative entropy and Newton iteration for OMA is put forward in this paper. Modal parameter identification results on simulation data of beam show that this method could identify the main modal vibration modes and natural frequencies correctly and efficiently only from measured signals of stationary random vibration response and more robustness than gradient descent and information maximization based ICA for OMA.

引用

页码：103 / 111

页数：9

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