• DocumentCode
    3031318
  • Title

    A Fuzzy Model for Estimating the Remaining Lifetime a Diesel Engine

  • Author

    Fanegan, Julius ; Ralescu, Anca ; Ueda, Takahiro

  • Author_Institution
    Univ. of Cincinnati Cincinnati, Cincinnati
  • fYear
    2007
  • fDate
    24-27 June 2007
  • Firstpage
    473
  • Lastpage
    477
  • Abstract
    We present a novel approach used in conjunction with Sugeno and Yasukawa qualitative modeling algorithm. Its main feature is a reduction of the output space before the output data are clustered. The data used in this paper come from nine diesel engine trucks, and for each diesel engine 13 sensor variables are measured. The objective is to develop a fuzzy model for predicting the remaining lifetime of a diesel engine.
  • Keywords
    diesel engines; fuzzy set theory; remaining life assessment; diesel engine; fuzzy model; remaining lifetime estimation; Clustering algorithms; Diesel engines; Fuzzy sets; Fuzzy systems; Input variables; Life estimation; Lifetime estimation; Maximum likelihood estimation; Principal component analysis; System identification; PCA; fuzzy modeling; remaining engine lifetime;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 2007. NAFIPS '07. Annual Meeting of the North American
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    1-4244-1213-7
  • Electronic_ISBN
    1-4244-1214-5
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2007.383886
  • Filename
    4271109