Statistically Filtering Data for Operational Modal Analysis under Ambient Vibration in Structural Health Monitoring Systems

被引:2
|
作者
Wang, Liang [1 ]
Song, Ruixiang [1 ]
Wu, Yubin [1 ]
Hu, Wencheng [1 ]
机构
[1] Beijing Municipal Inst Labour Protect, 55 Taoranting Rd, Beijing 100054, Peoples R China
来源
2016 3RD INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND APPLICATIONS (ICIEA 2016) | 2016年 / 68卷
关键词
IDENTIFICATION;
D O I
10.1051/matecconf/20166814010
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Operational modal analysis (OMA) is prevalent in large structure modal identification for that it asks for output measurements only. To guarantee identification accuracy, theoretically, OMA data need to be a random process of Gaussian white noise (GWN). Although numerous OMA applications are found in practice, few have particularly discussed the data distribution and to what extent it would blur the modal judgement. This paper presents a method to sieve segments mostly obeying the GWN distribution out of a recording. With a windowing technique, the data segments are evaluated by the modified Kurtosis value. The process has been demonstrated on the monitoring data of two case study structures: one is a laboratory truss bridge excited by artificial forces, the other is a real cable-stayed bridge subject to environmental loads. The results show that weak randomness data may result in false peaks that would possibly mislead the non-parametric modal identification, such as using the Frequency Domain Decomposition method. To overcome, cares on selecting the optimal segment shall be exercised. The proposed method is verified effective to find the most suitable data for modal identification of structural health monitoring systems.
引用
收藏
页数:5
相关论文
共 48 条
  • [1] Performance of Optical Structural Vibration Monitoring Systems in Experimental Modal Analysis
    Kalybek, Maksat
    Bocian, Mateusz
    Nikitas, Nikolaos
    SENSORS, 2021, 21 (04) : 1 - 24
  • [2] Ambient vibration testing and operational modal analysis of monopole telecoms structures
    Jimenez Capilla, Jose Alfonso
    Au, Siu-Kui
    Brownjohn, James Mark William
    Hudson, Emma
    JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING, 2021, 11 (04) : 1077 - 1091
  • [3] Structural health monitoring of offshore wind turbines using automated operational modal analysis
    Devriendt, Christof
    Magalhaes, Filipe
    Weijtjens, Wout
    De Sitter, Gert
    Cunha, Alvaro
    Guillaume, Patrick
    STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2014, 13 (06): : 644 - 659
  • [4] Ambient vibration re-testing and operational modal analysis of the Humber Bridge
    Brownjohn, J. M. W.
    Magalhaes, Filipe
    Caetano, Elsa
    Cunha, Alvaro
    ENGINEERING STRUCTURES, 2010, 32 (08) : 2003 - 2018
  • [5] Data-driven sensor fault diagnosis for vibration-based structural health monitoring under ambient excitation
    Lydakis, Emmanouil
    Koss, Holger
    Brincker, Rune
    Amador, Sandro D. R.
    MEASUREMENT, 2024, 237
  • [6] A Fuzzy Krill Herd Approach for Structural Health Monitoring of Bridges using Operational Modal Analysis
    Jahan, Saeid
    Mojtahedi, Alireza
    Mohammadyzadeh, Samira
    Hokmabady, Hamid
    IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING, 2021, 45 (02) : 1139 - 1157
  • [7] Vibration-based anomaly detection method for structural health monitoring of in-service structures under ambient vibration
    Khuyen, H. T.
    Uchibori, H.
    Nagamoto, N.
    Mizutani, T.
    BRIDGE MAINTENANCE, SAFETY, MANAGEMENT, LIFE-CYCLE SUSTAINABILITY AND INNOVATIONS, 2021, : 3547 - 3554
  • [8] Vibration-based structural health monitoring under changing environmental conditions using Kalman filtering
    Erazo, Kalil
    Sen, Debarshi
    Nagarajaiah, Satish
    Sun, Limin
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2019, 117 : 1 - 15
  • [9] Long-Term Modal Analysis of Wireless Structural Monitoring Data from a Suspension Bridge under Varying Environmental and Operational Conditions: System Design and Automated Modal Analysis
    Zhang, Yilan
    Kurata, Masahiro
    Lynch, Jerome P.
    JOURNAL OF ENGINEERING MECHANICS, 2017, 143 (04)
  • [10] Structural finite element model updating using incomplete ambient vibration modal data
    Chen HuaPeng
    Tee KongFah
    SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2014, 57 (09) : 1677 - 1688