Identification of impact force in thick plates based on the elastodynamics and time-frequency method (II) - Experimental approach for identification of the impact force based on time frequency methods

被引:4
|
作者
Kim, Sung-Jong [1 ]
Lee, Sang-Kwon [1 ]
机构
[1] Inha Univ, Dept Mech Engn, Inchon 402751, South Korea
关键词
Green function; flexible wave; force identification; group velocity plate;
D O I
10.1007/s12206-008-0313-0
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
The paper presents a novel experimental method for the determination of the impact load in the thick plate based on the theoretical Green's function and the measured waveforms by the sensors arrayed on the surface on the plate. This method requires the location of the impact load. For the accurate estimation of location of impact source in a plate, the arriving time difference between sensors and the propagation velocity of acoustic waveform are necessary. Their measurements are difficult since the acoustic waveforms are dispersive with multi modes in the plate. The time frequency analysis for the acoustic waveform gives the information about the time difference for multi mode dispersive waveform. For the estimation of location of impact source in a plate, the information on the group velocity of the A0 flexible mode is important. In the paper, various time frequency methods are introduced and their methods are compared with simulated signals. The combined higher order time frequency (HOTF) is employed for dispersive information for the A0 mode flexible mode. The location of impact source and the magnitude of impact load are well estimated based on the theoretical Green's function and the CHOTF for the acoustic waveforms measured by three sensors arrayed on the plate.
引用
收藏
页码:1359 / 1373
页数:15
相关论文
共 50 条
  • [31] A Nonintrusive Load Identification Model Based on Time-Frequency Features Fusion
    Li, Kexin
    Yin, Bo
    Du, Zehua
    Sun, Yufei
    Yin, Bo (ybfirst@126.com), 1600, Institute of Electrical and Electronics Engineers Inc. (09): : 1376 - 1387
  • [32] Experimental study of time-frequency based ILC
    Zhang, B
    Wang, DW
    Ye, YQ
    2004 8TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS AND VISION, VOLS 1-3, 2004, : 619 - 624
  • [33] Force identification based on sensitivity in time domain
    Lu, Z. R.
    Law, S. S.
    JOURNAL OF ENGINEERING MECHANICS-ASCE, 2006, 132 (10): : 1050 - 1056
  • [34] A multiwavelet-based time-varying model identification approach for time-frequency analysis of EEG signals
    Li, Yang
    Luo, Mei-Lin
    Li, Ke
    NEUROCOMPUTING, 2016, 193 : 106 - 114
  • [35] Novel Approach for Arc Fault Identification With Transient and Steady State Based Time-Frequency Analysis
    Zhang, Zhenyuan
    Ren, Jie
    Tang, Xiaotian
    Jing, Shi
    Lee, Wei-Jen
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2022, 58 (04) : 4359 - 4369
  • [36] Time-frequency method for nonlinear system identification and damage detection
    Pai, P. Frank
    Huang, Lu
    Hu, Jiazhu
    Langewisch, Dustin R.
    STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2008, 7 (02): : 103 - 127
  • [37] Identification of Constant Parameters of Dynamic Systems by a Time-Frequency Method
    Danilevich, E., V
    Evstratov, A. R.
    Kukharenko, N., I
    Ovcharenko, V. N.
    Poplayskii, B. K.
    JOURNAL OF COMPUTER AND SYSTEMS SCIENCES INTERNATIONAL, 2018, 57 (04) : 495 - 504
  • [38] Identification of Constant Parameters of Dynamic Systems by a Time-Frequency Method
    E. V. Danilevich
    A. R. Evstratov
    N. I. Kukharenko
    V. N. Ovcharenko
    B. K. Poplavskii
    Journal of Computer and Systems Sciences International, 2018, 57 : 495 - 504
  • [39] Time-Frequency MUSIC: An array signal processing method based on time-frequency signal representations
    Amin, MG
    Belouchrani, A
    RADAR PROCESSING, TECHNOLOGY, AND APPLICATIONS III, 1998, 3462 : 186 - 194
  • [40] Intelligent identification method for pipeline leakage based on GPR time-frequency features and deep learning
    Shen, Yonggang
    Ye, Guoxuan
    Zheng, Feifei
    Ye, Zihao
    Yu, Zhenwei
    AQUA-WATER INFRASTRUCTURE ECOSYSTEMS AND SOCIETY, 2024, 73 (07) : 1421 - 1436