Title of article :
Moving Window Differential Evolution Independent Component Analysis-Based Operational Modal Analysis for Slow Linear Time-Varying Structures
Author/Authors :
Zong, Yongshuo School of Informatics - Xiamen University, China , Chen, Jinling School of Informatics - Xiamen University, China , Tao,Siyi School of Informatics - Xiamen University, China , Wang, Cheng College of Computer Science and Technology - Huaqiao University, China , Xiahou, Jianbing School of Informatics - Xiamen University, China
Pages :
9
From page :
1
To page :
9
Abstract :
In order to identify time-varying transient modal parameters only from nonstationary vibration response measurement signals for slow linear time-varying (SLTV) structures which are weakly damped, a moving window differential evolution (DE) independent component analysis- (ICA-) based operational modal analysis (OMA) method is proposed in this paper. Firstly, in order to overcome the problems in traditional ICA-based OMA, such as easy to go into local optima and difficult-to-identify high-order modal parameters, we combine DE with ICA and propose a differential evolution independent component analysis- (DEICA-) based OMA method for linear time invariant (LTI) structures. Secondly, we combine the moving widow technique with DEICA and propose a moving window differential evolution independent component analysis- (MWDEICA-) based OMA method for SLTV structures. The MWDEICA-based OMA method has high global searching ability, robustness, and complexity of time and space. The modal identification results in a three-degree-of-freedom structure with slow time-varying mass show that this MWDEICA-based OMA method can identify transient time-varying modal parameters effectively only from nonstationary vibration response measurement signals and has better performances than moving window traditional ICA-based OMA.
Keywords :
Modal Analysis , Operational , Moving Window , Differential Evolution , Slow Linear Time-Varying Structures
Journal title :
Scientific Programming
Serial Year :
2020
Full Text URL :
Record number :
2610182
Link To Document :
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