MEMS-Based Vibration Acquisition for Modal Parameter Identification of Substation Frame

被引:0
|
作者
Qiang, Ruochen [1 ]
Sheng, Ming [2 ]
Su, Dongxu [2 ]
Wang, Yachen [2 ]
Liu, Xianghong [2 ]
Sun, Qing [2 ]
机构
[1] State Grid Shaanxi Elect Power Co, Econ Res Inst, Xian 710075, Peoples R China
[2] Xi An Jiao Tong Univ, Dept Civil Engn, Xian 710064, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 18期
基金
中国国家自然科学基金;
关键词
MEMS vibration acquisition; substation frame; modal parameters; stochastic subspace identification method; MODEL; SENSORS; DOMAIN; TOWERS; BRIDGE;
D O I
10.3390/app14188190
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
As a critical component of substations, the substation frames are characterized by significant height and span, which presents substantial challenges and risks in conducting dynamic response tests using traditional sensors. To simplify these difficulties, this paper introduces an experimental method utilizing MEMS sensor-based vibration acquisition. In this approach, smartphones equipped with MEMS sensors are deployed on the target structure to collect vibration data under environmental excitation. This method was applied in a dynamic field test of a novel composite substation frame. During the test, the proposed MEMS-based vibration acquisition method was conducted in parallel with traditional ultra-low-frequency vibration acquisition methods to validate the accuracy of the MEMS data. The results demonstrated that the MEMS sensors not only simplified the testing process but also provided reliable data, offering greater advantages in testing convenience compared with traditional contact methods. The modal parameters of the substation frame, including modal frequencies, damping ratios, and mode shapes, were subsequently identified using the covariance-driven stochastic subspace identification method. The experimental methodology and findings presented in this paper offer valuable insights for structural dynamic response testing and the wind-resistant design of substation frames.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Modal parameter identification of a MEMS gyroscope
    M'Closkey, RT
    Gibson, S
    Hui, J
    [J]. PROCEEDINGS OF THE 2000 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2000, : 1699 - 1704
  • [2] Trends of MEMS-Based Vibration Energy Harvester
    Mo, Bing
    Huang, Ronghai
    Huang, Ruimin
    Ling, Chaodong
    Zhou, Huo
    [J]. MICRO-NANO TECHNOLOGY XIV, PTS 1-4, 2013, 562-565 : 1251 - 1256
  • [3] Modal Parameter Identification Based on an Enhanced Hilbert Vibration Decomposition
    Li, Cong
    Cao, Yungan
    [J]. IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING, 2022, 46 (03) : 1841 - 1852
  • [4] Modal Parameter Identification Based on an Enhanced Hilbert Vibration Decomposition
    Cong Li
    Yungan Cao
    [J]. Iranian Journal of Science and Technology, Transactions of Civil Engineering, 2022, 46 : 1841 - 1852
  • [5] Dynamic identification of an ancient masonry bell tower using a MEMS-based acquisition system
    Bassoli, Elisa
    Vincenzi, Loris
    Bovo, Marco
    Mazzotti, Claudio
    [J]. 2015 IEEE WORKSHOP ON ENVIRONMENTAL, ENERGY AND STRUCTURAL MONITORING SYSTEMS (EESMS), 2015, : 226 - 231
  • [6] MEMS-based high-frequency vibration sensors
    Harris, A. W.
    Oppenheim, I. J.
    Greve, D. W.
    [J]. SMART MATERIALS AND STRUCTURES, 2011, 20 (07)
  • [7] Modal Parameter Identification Based on Hilbert Vibration Decomposition in Vibration Stability of Bridge Structures
    Xia, Yingzhi
    Li, Hui
    Fan, Zhezhe
    Xiao, Jiyong
    [J]. ADVANCES IN CIVIL ENGINEERING, 2021, 2021
  • [8] Modal Parameter Identification of Nonlinear Systems Based on Hilbert Vibration Decomposition
    Ren, Xinjian
    [J]. IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF CIVIL ENGINEERING, 2023, 47 (01) : 389 - 397
  • [9] Modal Parameter Identification of Nonlinear Systems Based on Hilbert Vibration Decomposition
    Xinjian Ren
    [J]. Iranian Journal of Science and Technology, Transactions of Civil Engineering, 2023, 47 : 389 - 397
  • [10] An information theoretic parameter tuning for MEMS-based reservoir computing
    Nakada, Kazuki
    Suzuki, Shunya
    Suzuki, Eiji
    Terasaki, Yukio
    Asai, Tetsuya
    Sasaki, Tomoyuki
    [J]. IEICE NONLINEAR THEORY AND ITS APPLICATIONS, 2022, 13 (02): : 459 - 464