• DocumentCode
    423355
  • Title

    Fault diagnosis of diesel engine combustion system based on neural networks

  • Author

    Yan, Gen-ting ; Ma, Guang-Fu

  • Author_Institution
    Dept. of Control Sci. & Eng., Harbin Inst. of Technol., China
  • Volume
    5
  • fYear
    2004
  • fDate
    26-29 Aug. 2004
  • Firstpage
    3111
  • Abstract
    We have developed a neural-network based on fault diagnostic system for diesel engine combustion system. Grounded on the presented evolutionary algorithm, neural networks automatically adjust the network parameters (connection weights and bias terms). Computer simulation experimental results confirm that the proposed method has high diagnostically accuracy.
  • Keywords
    diesel engines; digital simulation; evolutionary computation; fault diagnosis; neural nets; bias term parameter; computer simulation; connection weight parameter; diesel engine combustion system; evolutionary algorithm; fault diagnostic system; network parameters; neural networks; Artificial neural networks; Combustion; Computer simulation; Control systems; Diesel engines; Electronic mail; Evolutionary computation; Fault diagnosis; Neural networks; Pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
  • Print_ISBN
    0-7803-8403-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2004.1378568
  • Filename
    1378568
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=423355