Efficient On-line Failure Identification for Discrete-event Systems

نویسندگان

  • Anika Schumann
  • Yannick Pencolé
چکیده

The paper addresses the problem of diagnosing complex embedded systems. Given a flow of observations from the system, the goal is to explain these observations by identifying possible failures. Approaches that efficiently compute the possible failures, like the classical diagnoser approach, suffer from high space complexity. This paper presents a method that generalises the observable behaviour of a system resulting in a smaller finite state machine, that efficiently maps observations to possible failures.

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تاریخ انتشار 2006