Moving window variable step-size EASI based operational modal parameter identification for slow linear time-varying structure

被引：0
|
作者：
Huang H. [1 ]
Wang C. [1 ]
Li H. [1 ]
Lai X. [2 ]
Gou J. [1 ]
Zhang H. [1 ]
机构：
[1] College of Computer Science and Technology, Huaqiao University, Xiamen
[2] College of Mechanical Engineering and Automation, Huaqiao University, Xiamen
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2021年 / 27卷 / 01期
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
Equivariant adaptive separation via independence; Moving window; Operational modal parameter identification; Slow linear time-varying structure; Variable-step;
D O I：
10.13196/j.cims.2021.01.017
中图分类号：
学科分类号：
摘要：
To identify the transient and time-varying modal parameters of Slow Linear Time-Varying (SLTV) structures with weakly damped online only from non-stationary vibration response signals, a Moving Window Variable step-size Equivariant Adaptive Separation via Independence (MWVEASI) based operational modal identification method was proposed. Through the fixed length window technique in MWVEASI, non-stationary vibration response signals could approximately be seen as stationary random time series in each window and SLTV structures could approximately be seen as multiple linear time-invariant structures. In each window, the variable step-size EASI algorithm was used to estimate the modal shapes and natural frequencies as the transient modal parameters at the middle moment. The whole time period time-varying modal parameters of the SLTV structure were obtained through moving the window. The identification results on simulation data of the three-degree-freedom spring oscillator structure with slow time-varying mass showed that two different MWVEASI methods could well identify the modal shapes and natural frequencies of SLTV structures. Compared with moving window fixed-step EASI and variable-step EASI, MWVEASI had better tracking time-varying characteristics, higher recognition accuracy and faster convergence. © 2021, Editorial Department of CIMS. All right reserved.
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页码：182 / 191
页数：9
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