Vibration source identification using an energy density method

被引:0
|
作者
Mao, Chen [1 ]
Wong, Wai On [1 ]
Cheng, Li [1 ]
机构
[1] Hong Kong Polytech Univ, Dept Mech Engn 1, Kowloon, Hung Hom, Hong Kong 852, Peoples R China
关键词
Vibration source identification; force localization; energy density; vibration energy; MODAL POWER-FLOW; RECONSTRUCTION;
D O I
10.1177/10775463211039903
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
The localization of shaking forces acting on an operating machine is an important step to identify vibration and noise sources. The forced vibration response of a linearly vibrating structure is assumed to be linear. However, the energy distribution of a linearly vibrating structure contains "coupled terms" in the modal decomposition of the vibration energy density function. These coupled energy terms represent the cross-modal energy density associated with the exciting force of a dynamic structure under forced vibration. In this research, it is proved analytically that the high-order cross-modal energy densities of a linear dynamic structure are highly correlated to the location of the external exciting force. Using this finding, a new force localization index based on the high-order cross-modal energy densities of a dynamic structure is proposed and tested. Numerical tests on uniform and step beam structures under force excitation with different frequencies and locations have been carried out to test the effectiveness of the proposed force localization method. It is found that the proposed force localization method works well on vibrating beam structures. Experiments are carried out to verify the proposed force localization method.
引用
收藏
页码:3859 / 3874
页数:16
相关论文
共 50 条
  • [41] Energy decomposition analysis method using density matrix formulation
    Zhang, Yueyang
    Yan, Longxiang
    Wu, Wei
    Su, Peifeng
    JOURNAL OF CHEMICAL PHYSICS, 2024, 160 (17):
  • [42] Vibration mode identification method for structures using image correlation and compressed sensing
    Kato, Yuki
    Watahiki, Soma
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2023, 199
  • [43] Identification for Variation Process of Rolling Bearing Vibration Performance Using Poisson Method
    Xia, Xin-Tao
    Meng, Yan-Yan
    INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND MECHANICAL AUTOMATION (ICEEMA 2015), 2015, : 214 - 219
  • [44] Groundwater pollution source identification using the backward beam equation method
    Atmadja, J
    Bagtzoglou, AC
    COMPUTATIONAL METHODS IN WATER RESOURCES, VOLS 1 AND 2: COMPUTATIONAL METHODS FOR SUBSURFACE FLOW AND TRANSPORT, 2000, : 397 - 404
  • [45] Sound source identification using the boundary element method in a sparse framework
    Xiao, Youhong
    Zhang, Zixin
    Fei, Jingzhou
    Lu, Huabing
    Zhang, Chenyu
    JOURNAL OF VIBRATION AND CONTROL, 2024, 30 (15-16) : 3449 - 3461
  • [46] NOISE SOURCE IDENTIFICATION BY AN OPTIMIZATION TECHNIQUE USING THE BOUNDARY ELEMENT METHOD
    TANAKA, M
    YAZAKI, S
    YAMADA, Y
    JSME INTERNATIONAL JOURNAL SERIES I-SOLID MECHANICS STRENGTH OF MATERIALS, 1990, 33 (04): : 453 - 460
  • [47] A new sampling method based on radiation energy density for location of radiative source particles
    Li Shu
    Deng Li
    Tian Dong-Feng
    Li Gang
    ACTA PHYSICA SINICA, 2014, 63 (23)
  • [48] Research of Vibration and Noise Source Identification Method of Surface-mounted Permanent Magnet Synchronous Motor
    Li, Yan
    Jiang, Xiaodong
    Xia, Jiakuan
    Li, Shuangpeng
    Zhang, Fengge
    2013 INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS), 2013, : 42 - 45
  • [49] Kernel Current Source Density Method
    Potworowski, Jan
    Jakuczun, Wit
    Leski, Szymon
    Wojcik, Daniel
    NEURAL COMPUTATION, 2012, 24 (02) : 541 - 575
  • [50] Kernel current source density method
    Jan Potworowski
    Wit Jakuczun
    Szymon Łęski
    Daniel K Wójcik
    BMC Neuroscience, 12 (Suppl 1)