• DocumentCode
    1702569
  • Title

    A method of task allocation for collaborative diagnosis

  • Author

    Liu, JianHui ; Qin, Xiansheng

  • Author_Institution
    Sch. of Mechatron., Northwestern Polytech. Univ., Xian
  • fYear
    2008
  • Firstpage
    930
  • Lastpage
    935
  • Abstract
    In the domain of collaborative diagnosis which joined with multi-resource, on account of equipment´s complexity and diagnosis resource´s heterogeneous, diagnosis task allocation should be self-adaptive. This requirement can be satisfied with an static and dynamic integrated task allocation method, in the static allocation method, diagnosis task relation model was established with equipment´s qualitative model and fuzzy relation matrix, diagnosis path planning was realized by improving D-algorithm, and multi-constraint integer programming was used to resource allocation; In the dynamic method, an extended contract net method was introduced, which based on utility and negotiation. Then, the validity of this method has been validated within an engineering equipment fault diagnosis instance. The conclusion summarizes this method and points out its further development.
  • Keywords
    fault diagnosis; fuzzy set theory; groupware; integer programming; matrix algebra; path planning; resource allocation; task analysis; D-algorithm; collaborative diagnosis; diagnosis path planning; diagnosis task allocation; engineering equipment fault diagnosis; fuzzy relation matrix; multi-constraint integer programming; resource allocation; static allocation method; Collaboration; Contracts; Dynamic programming; Fault diagnosis; Fuzzy sets; Linear programming; Matrix decomposition; Mechatronics; Path planning; Resource management; Diagnosis task allocation; Extended contract net; Fuzzy relation matrix; Resource optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Supported Cooperative Work in Design, 2008. CSCWD 2008. 12th International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-1650-9
  • Electronic_ISBN
    978-1-4244-1651-6
  • Type

    conf

  • DOI
    10.1109/CSCWD.2008.4537104
  • Filename
    4537104