Operational modal parameter identification with correlated colored noise excitation

被引:3
|
作者
Lu, Xiangyu [1 ]
Chen, Huaihai [1 ]
He, Xudong [1 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Aerosp Engn, State Key Lab Mech & Control Mech Struct, Nanjing, Jiangsu, Peoples R China
关键词
Colored noise; operational modal analysis; modal parameter identification; correlated noise; correlation coefficient; RANDOM VIBRATION TEST; FREQUENCY; MULTIPLE; BRIDGE; MODES; TIME; SINE;
D O I
10.1177/10775463211011312
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Operational modal analysis refers to the modal analysis of a structure in its operating state. The advantage of operational modal analysis is that only the output vibration signal of a system is used. The classical operational modal analysis algorithm is based on the white noise excitation assumption, and it is considered that there is no correlation between the excitations; several identification methods have been developed in time and frequency domains. But excitations are not completely independent with each other and not pure white. In this article, the matrix theory is used to prove that the operational modal analysis algorithm can still be used to identify modal parameters when the excitation is correlated. In the simulation, five kinds of colored noise excitations are applied to the cantilever beam with correlated excitations, which shows that the idea proposed in this article is rational. In the experiment, the foundation excitation of colored noise is added to the cantilever beam, which can be regarded as applying several related excitations. It also shows the rationality of this idea.
引用
收藏
页码:2435 / 2444
页数:10
相关论文
共 50 条
  • [31] PARAMETER ESTIMATION ALGORITHMS IN OPERATIONAL MODAL ANALYSIS: A REVIEW
    Chauhan, Shashank
    6TH IOMAC: INTERNATIONAL OPERATIONAL MODAL ANALYSIS CONFERENCE PROCEEDINGS, 2015, : 357 - 367
  • [32] MODAL PARAMETER IDENTIFICATION OF A GIRDER BRIDGE BY FAST BAYESIAN FFT METHOD UNDER AMBIENT EXCITATION
    Zheng, Peijuan
    Zong, Zhouhong
    Han, Jianping
    Zhong, Rumian
    PROCEEDINGS OF THE THIRTEENTH INTERNATIONAL SYMPOSIUM ON STRUCTURAL ENGINEERING, VOLS 1 AND II, 2014, : 1190 - 1203
  • [33] Kalman filter-based subspace identification for operational modal analysis under unmeasured periodic excitation
    Gres, Szymon
    Dohler, Michael
    Andersen, Palle
    Mevel, Laurent
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2021, 146
  • [34] Operational modal analysis under harmonic excitation using Ramanujan subspace projection and stochastic subspace identification
    Xu, Mingqiang
    Au, Francis T. K.
    Wang, Shuqing
    Tian, Huiyuan
    JOURNAL OF SOUND AND VIBRATION, 2023, 545
  • [35] An Adaptive Operational Modal Analysis under Non-White Noise Excitation Using Hybrid Neural Networks
    Qin, Min
    Chen, Huaihai
    Zheng, Ronghui
    He, Xudong
    Ren, Siyu
    APPLIED SCIENCES-BASEL, 2022, 12 (05):
  • [36] An extended modal approach for modal parameter identification of structure under the existence of harmonic excitations
    Liu, Xinliang
    Liu, Siming
    Su, Youbiao
    Wang, Jun
    Xie, Shilin
    Luo, Yajun
    Zhang, Yahong
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2024, 213
  • [37] Operational modal identification using variational Bayes
    Li, Binbin
    Kiureghian, Armen Der
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2017, 88 : 377 - 398
  • [38] Identifying mode shapes and modal frequencies by operational modal analysis in the presence of harmonic excitation
    P. Mohanty
    D. J. Rixen
    Experimental Mechanics, 2005, 45 (3) : 213 - 220
  • [39] Identifying mode shapes and modal frequencies by operational modal analysis in the presence of harmonic excitation
    Mohanty, P
    Rixen, DJ
    EXPERIMENTAL MECHANICS, 2005, 45 (03) : 213 - 220
  • [40] Understanding and managing identification uncertainty of close modes in operational modal analysis
    Au, Siu-Kui
    Brownjohn, James M. W.
    Li, Binbin
    Raby, Alison
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2021, 147