• DocumentCode
    3345313
  • Title

    Ship Hydrodynamic Pressure Signal Detection Based on Neural Network Prediction

  • Author

    Zhang Xiaobing ; Jia Yizhuo

  • Author_Institution
    Dept. of Weaponry Eng., Naval Univ. of Eng., Wuhan, China
  • fYear
    2009
  • fDate
    14-17 Oct. 2009
  • Firstpage
    469
  • Lastpage
    471
  • Abstract
    The ship hydrodynamic pressure signal is generally hard to detect from the rough ocean wave hydrodynamic pressure background signal. An algorithm based on neural network prediction is provided to detect the ship pressure signal from the ocean wave pressure signal. The predictions of hydrodynamic pressure signal are compared with measurements of the same variables to form prediction errors that are used to test for the presence of the ship pressure signal. If the prediction errors are relatively high, it will mean the appearance of a ship hydrodynamic pressure signal. Through the simulation results on the simulated and the measurement data, the algorithm based on feed forward neural network prediction proved its validity.
  • Keywords
    error analysis; feedforward neural nets; hydrodynamics; ocean waves; prediction theory; ships; signal detection; feedforward neural network prediction; ocean wave pressure signal; prediction errors; ship hydrodynamic pressure signal detection; Feeds; Hydrodynamics; Marine vehicles; Neural networks; Ocean waves; Predictive models; Pressure measurement; Sea measurements; Signal detection; Testing; error; neural network; prediction; ship hydrodynamic pressure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
  • Conference_Location
    Guilin
  • Print_ISBN
    978-0-7695-3899-0
  • Type

    conf

  • DOI
    10.1109/WGEC.2009.173
  • Filename
    5402795