• DocumentCode
    2022235
  • Title

    The modeling and simulation of ship main engine based on neural network

  • Author

    Xiao, Jianmei ; Wang, Xihuai ; Bao, Minzhong

  • Author_Institution
    Shanghai Maritime Univ., China
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    123
  • Abstract
    This paper presents a ship main engine model with RBF neural network using the actual data of MAN B&W 6L80MC ship engine. The master-slave simulator for ship engine and control system is developed based on the engine model, the upper computer is a PC with human-machine interface, and the lower computer is a microcontroller to control the engine model through simulation console. The simulators have been opened for training students and seamen at several maritime colleges and ship enterprises in China since 2000.
  • Keywords
    computer based training; digital simulation; engines; microcomputer applications; microcontrollers; naval engineering computing; propulsion; radial basis function networks; ships; China; MAN B&W 6L80MC ship engine; PC; RBF neural network; human-machine interface; maritime colleges; master-slave simulator; micro-controller; microcontroller; seaman training; ship control system; ship enterprises; ship main engine modeling; ship main engine simulation; student training; Computational modeling; Computer interfaces; Computer simulation; Control system synthesis; Engines; Man machine systems; Marine vehicles; Master-slave; Microcontrollers; Neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
  • Print_ISBN
    0-7803-7268-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2002.1022081
  • Filename
    1022081