Detection and removal of harmonic components in operational modal analysis

被引：4
|
作者：
Xia, Zunping [1 ]
Wang, Tong [2 ]
Zhang, Lingmi [2 ]
机构：
[1] Nanjing Univ Aeronaut & Astronaut, State Key Lab Mech & Control Mech Struct, Vibrat Testing & Anal, Nanjing, Jiangsu, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, State Key Lab Mech & Control Mech Struct, Nanjing, Jiangsu, Peoples R China
来源：
JOURNAL OF VIBROENGINEERING | 2017年 / 19卷 / 07期
关键词：
operational modal analysis; enhanced spectral kurtosis; harmonic detection; harmonic removal; SPECTRAL KURTOSIS; RANDOM DECREMENT;
D O I：
10.21595/jve.2017.17725
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Operational modal analysis (OMA) has been utilized to extract structural dynamic characteristics by only using the output responses. In many cases of OMA, the problem of harmonic components, which is caused by periodic excitation components to the structure, may occur, and may lead to erroneous modal identification. In this paper, an optimized harmonic indicator function named the enhanced spectral kurtosis (ESK) is proposed to improve the effectiveness of the harmonic components detection. Moreover, a new algorithm based on virtual excitation assumption is presented to remove the harmonic components in modal parameters estimation. Finally, the quality of the proposed method is compared with that of the conventional method using a numerical simulation and a practical experiment.
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页码：5278 / 5289
页数：12
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