FUZZY SYSTEM FOR AUTOMOTIVE FAULT DIAGNOSIS : FAST RULE GENERATION AND SELF-TUNING

In this paper, the authors describe a fuzzy model which uses machine learning techniques to learn automotive diagnostic knowledge. The model contains algorithms which automatically generate fuzzy rules and optimizing fuzzy membership functions. The authors describe the application of the fuzzy model to detect vacuum leaks in electronic engine controllers at automotive assembly plants. Test results and performance are discussed.

  • Supplemental Notes:
    • Publication Date: March 2000
  • Corporate Authors:

    Jamiah al-Lubnaniyah al-Amirikiyah

    ,    
  • Authors:
    • Li, Yi
    • Chen, Tie Qi
    • Hamilton, Brennan
  • Publication Date: 2000

Language

  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 00799918
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Files: PATH
  • Created Date: Oct 12 2000 12:00AM