• DocumentCode
    2045191
  • Title

    Comparison of wavelet and fourier analysis in harmonics in electric propulsive shipping system

  • Author

    Zhang, Jingnan ; Zhang, Lingzi ; Li, Jin ; Bai, Linlin

  • Author_Institution
    Department of Electrical Engineering, Harbin Engineering University, Heilongjiang Province 150001, China
  • fYear
    2015
  • fDate
    2-5 Aug. 2015
  • Firstpage
    1573
  • Lastpage
    1577
  • Abstract
    To guarantee high power quality the monitoring of the power grid is essential part of the process. The secure supervision of harmonics methods for the analyze of power quality disturbances in electric propulsive shipping system have to be considered. Harmonic analysis in electric propulsive shipping system is the Fourier Transform in norm. This kind of transform is basically used for stationary signals. During the last years the wavelet analysis has been found some acceptation in the electric propulsive shipping system. This kind of transform is especially used for transient signals. The application and direction of Fourier and wavelet is unclear in electric propulsion ship system .The aim of this paper is the comparison of different Fourier and wavelet algorithm. Especially be applied in electric propulsion ship power grid on the analysis of power quality disturbance. Temporarily short circuit method is used to simulate the power quality disturbance. The advantages of the different algorithms shall be discussed. Through effective simulation to provide the solution about harmonic analysis algorithm for ship power system in the steady state and transient.
  • Keywords
    Harmonic analysis; Multiresolution analysis; Power quality; Power system harmonics; Time-frequency analysis; Wavelet transforms; Disturbances; Fourier-Transform; Methods; Propulsive shipping system; Wavelet-Transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
  • Conference_Location
    Beijing, China
  • Print_ISBN
    978-1-4799-7097-1
  • Type

    conf

  • DOI
    10.1109/ICMA.2015.7237719
  • Filename
    7237719