• DocumentCode
    1456575
  • Title

    Operative diagnosis of graph-based systems with multiple faults

  • Author

    Chessa, Stefano ; Santi, Paolo

  • Author_Institution
    Dipartimento di Inf., Pisa Univ., Italy
  • Volume
    31
  • Issue
    2
  • fYear
    2001
  • fDate
    3/1/2001 12:00:00 AM
  • Firstpage
    112
  • Lastpage
    119
  • Abstract
    The problem of multiple faults diagnosis in safety-critical systems is considered. Error propagation between system components is modeled as a directed graph, where the errors propagate instantaneously along the edges. Some of the system components are equipped with alarms, which ring when abnormal conditions are detected. A diagnosis algorithm identifies the set of potential failure sources based on the set of ringing alarms. The paper introduces the D-FAULTS algorithm, which diagnoses the system when at most two nodes can be failure sources at any time. The concept of sequential diagnosis is also introduced, to deal with an unknown number of faults. Sequential diagnosis is aimed at locating the smallest set of nodes containing at least one fault. Using this approach, a faulty system can be restored to normal condition by executing repeatedly the diagnosis and repair phases. To this purpose, we introduce the sequential diagnosis algorithm S-DIAG with optimal time complexity
  • Keywords
    alarm systems; computational complexity; directed graphs; fault diagnosis; D-FAULTS algorithm; S-DIAG algorithm; abnormal conditions; error propagation; graph-based systems; operative diagnosis; optimal time complexity; potential failure sources; safety-critical systems; sequential diagnosis; Aircraft; Algorithm design and analysis; Chemical industry; Costs; Fault diagnosis; Humans; Performance analysis; Sequential diagnosis; Space vehicles; Testing;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4427
  • Type

    jour

  • DOI
    10.1109/3468.911368
  • Filename
    911368