• DocumentCode
    2083863
  • Title

    Improving Incremental Diagnosis with Choosing Measurement Order

  • Author

    Zhao, Xiangfu ; Ouyang, Dantong

  • Author_Institution
    Coll. of Math. Phys. & Inf. Eng., Zhejiang Normal Univ., Jinhua, China
  • Volume
    1
  • fYear
    2010
  • fDate
    7-8 Aug. 2010
  • Firstpage
    242
  • Lastpage
    245
  • Abstract
    There may be many groups of candidate results after the step of candidate generation in model-based diagnosis. Hwee Tou Ng proposed the Inc-Diagnose approach to further reduce the candidate results. However, the efficiency of Inc-Diagnose may not be very good. Firstly, we give some correction of Inc-Diagnosis by applying it to a real example. Then, we propose an improved approach with choosing the order of measurements for incremental diagnosis. Example results show that our approach has better efficiency.
  • Keywords
    artificial intelligence; fault diagnosis; candidate generation; inc-diagnose approach; incremental diagnosis; measurement order; model-based diagnosis; Artificial intelligence; Heating; Pediatrics; Temperature measurement; Temperature sensors; incremental diagnosis; measurement order; model-based diagnosis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Management Engineering (ISME), 2010 International Conference of
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-7669-5
  • Electronic_ISBN
    978-1-4244-7670-1
  • Type

    conf

  • DOI
    10.1109/ISME.2010.22
  • Filename
    5572522