• DocumentCode
    2468100
  • Title

    A method for searching and evaluating diagnosable sequence fault sets of a dependency matrix

  • Author

    Shi, Junyou ; Lin, Xiegui ; Lv, Kaiyue

  • Author_Institution
    Sch. of Reliability & Syst. Eng., Beihang Univ., Beijing, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Based on the single-fault diagnosis theory and the evaluation requirements of residual diagnosis information in a dependency matrix, a new method for searching and evaluating diagnosable sequence fault sets of a dependency matrix is proposed. Definitions of diagnosable sequence fault set and dependency sub-matrix are given. The generation algorithm of a dependency sub-matrix which is based on original faults is studied, with the exit condition of this generation algorithm established. Based on the dependency sub-matrix, the searching flow of full diagnosable sequence fault sets is given, and the parameters of residual diagnosis information evaluation for the sets are determined. These parameters include maximum depth, minimum depth, average depth and fault unique isolation percentage. A case of an avionic subsystem with a dependency matrix is given, and the above method is applied. The result shows that all diagnosable sequence fault sets of a dependency matrix can be found, and this method can be used to evaluate the residual diagnosis information in a dependency matrix.
  • Keywords
    fault diagnosis; matrix algebra; average depth; avionic subsystem; dependency matrix; dependency submatrix; diagnosable sequence fault set; evaluation requirements; exit condition; fault unique isolation percentage; generation algorithm; maximum depth; minimum depth; residual diagnosis information evaluation; sequence fault sets; single-fault diagnosis theory; Computer aided software engineering; Dependency Sub-Matrix; Diagnosable Sequence Fault Sets; Residual Diagnosis Information; Sequence Fault;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and System Health Management (PHM), 2012 IEEE Conference on
  • Conference_Location
    Beijing
  • ISSN
    2166-563X
  • Print_ISBN
    978-1-4577-1909-7
  • Electronic_ISBN
    2166-563X
  • Type

    conf

  • DOI
    10.1109/PHM.2012.6228789
  • Filename
    6228789