• DocumentCode
    3167705
  • Title

    A new method of diagnosing in-cylinder combustion deficiency based on fuzzy clustering theory and intra-cycle speed fluctuation

  • Author

    Hongyan, Chen ; Jin, Yan ; Min, Cheng

  • Author_Institution
    Mech. & Electr. Eng. Coll., China Jiliang Univ., Hangzhou, China
  • fYear
    2010
  • fDate
    29-30 Oct. 2010
  • Firstpage
    667
  • Lastpage
    670
  • Abstract
    A new method of diagnosing in-cylinder combustion deficiency, utilizing intra-cycle speed fluctuation by means of fuzzy clustering theory was developed in this paper. In the study, a self-researched condition monitor was used to acquire on-line test data of intra-cycle speed fluctuation. The experiments in SY492Q-(gasoline engine) showed that fault diagnosis using fuzzy clustering theory was advantageous for considering many factors and reliable under 2000rpm.
  • Keywords
    condition monitoring; fault diagnosis; fuzzy set theory; internal combustion engines; pattern clustering; petroleum; SY492Q-gasoline engine; fault diagnosis; fuzzy clustering theory; in-cylinder combustion deficiency diagnosing; intra-cycle speed fluctuation; self-researched condition monitor; Diagnosis; Fuzzy Clustering; Intra-cycle Speed Fluctuation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Education (ICAIE), 2010 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-6935-2
  • Type

    conf

  • DOI
    10.1109/ICAIE.2010.5641030
  • Filename
    5641030