• DocumentCode
    1591223
  • Title

    A Study of EMD Modal Identification Based on Laplace Wavelet Matching

  • Author

    Qing, Jiang ; Ting, Li ; Yan, Yao ; Jinhui, Cai

  • Author_Institution
    Coll. of Metrol. & Meas. Engnieering, China Jiliang Univ., Hangzhou, China
  • fYear
    2012
  • Firstpage
    101
  • Lastpage
    104
  • Abstract
    This paper proposes a method of empirical mode decomposition (EMD) modal parameter identification based on Laplace wavelet matching, on the basis of synchronization test for pressure switch. Taking a pressure switch which is used in the air-conditioning of automotives as a object, the paper conducts a lot experiments with hammering test and white noise for vibrating identification of diaphragm. Results proves that the method is able to overcome the disturbance of white noise and impulse noise, extract accurate modal parameters from multimoding aliasing and crowded modals, and finally identify the vibrating signal of diaphragm which solves the problem of synchronization test for pressure switch, and has the guidance significance to the related profession.
  • Keywords
    air conditioning; automotive engineering; diaphragms; pressure control; vibrations; wavelet transforms; white noise; EMD modal parameter identification; Laplace wavelet matching; automotive air-conditioning; crowded modals; diaphragm vibrating identification; empirical mode decomposition; hammering test; impulse noise disturbance; modal parameter extraction; multimoding aliasing; pressure controller; pressure switch; synchronization test; white noise disturbance; Correlation; Dictionaries; Noise; Switches; Synchronization; Testing; Vibrations; EMD; Laplace wavelet; modal parameters; synchronization test;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-1-4577-2120-5
  • Type

    conf

  • DOI
    10.1109/ISdea.2012.652
  • Filename
    6173157