• DocumentCode
    697274
  • Title

    Case based reasoning methodology for supervision

  • Author

    Melendez, Joaquim ; Colomer, Joan ; Macaya, Daniel

  • Author_Institution
    EXiT Group, Univ. de Girona, Girona, Spain
  • fYear
    2001
  • fDate
    4-7 Sept. 2001
  • Firstpage
    1600
  • Lastpage
    1605
  • Abstract
    The methodology of case base reasoning (CBR) is proposed to perform supervisory tasks in industrial process. An outlook of main difficulties in applying this methodology in dynamic systems is contrasted with the benefits of applying it. A generic case definition is proposed to achieve supervisory tasks in the domain of dynamic systems. This methodology has been implemented for improving the control of a batch drier chamber. A discussion related to monitoring a discrete events laboratory plant is also discussed. It includes the definition of similarity functions according to time evolution for case retrieving and its use for diagnosis and fault detection.
  • Keywords
    case-based reasoning; process control; production engineering computing; CBR; batch drier chamber; case based reasoning methodology; discrete event laboratory plant monitoring; dynamic systems; fault detection; fault diagnosis; industrial process; supervisory tasks; Cognition; Computer aided software engineering; Fault detection; Monitoring; Process control; Registers; Vectors; Case Based Reasoning (CBR); dynamic systems supervision; expert supervision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2001 European
  • Conference_Location
    Porto
  • Print_ISBN
    978-3-9524173-6-2
  • Type

    conf

  • Filename
    7076148