• DocumentCode
    3343093
  • Title

    Studies on a hybrid experimental statistical energy analysis method

  • Author

    Wu, Xianjun ; Cao, Jianhua

  • Author_Institution
    School of Mechanical and Electronic Engineering, Wuhan University of Technology, Hubei, China
  • fYear
    2010
  • fDate
    26-28 June 2010
  • Firstpage
    5445
  • Lastpage
    5448
  • Abstract
    Because there are so many subsystems in traditional experimental statistical energy analysis method, the workload of measuring the parameters is very big. This paper presents a hybrid experimental statistical energy analysis method, in which some of the parameters are determined by analytical method, thus it reduces the number of the unknown measured parameters. This article described the test steps of this method and also given numerical simulation examples. Results showed that the statistical energy equation established by this method can accurately forecast structural vibration of complex system. Finally, the method to choose positions of excitation points was also discussed.
  • Keywords
    Educational institutions; Energy measurement; Equations; Load forecasting; Mechanical variables measurement; Neural networks; Numerical simulation; Power engineering and energy; Testing; Vibrations; Experiment; Hybrid method; Statistical energy analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
  • Conference_Location
    Wuhan, China
  • Print_ISBN
    978-1-4244-7737-1
  • Type

    conf

  • DOI
    10.1109/MACE.2010.5535265
  • Filename
    5535265