Diagnosis of condition systems using causal structure

Jeffrey Ashley, Lawrence E. Holloway

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations


In a system composed of multiple subsystems, each subsystem imposes constraints on the behavior of the system through its interactions with other subsystems and with the external environment. A failure occurs when the subsystem no longer imposes its constraints, thus permitting unexpected observed behaviors from the system. In this paper, we consider systems composed of interacting condition systems, a form of Petri net with input and output signals defining its interactions with other subsystems. We present a method of transforming the system model into a causal model defining which subsystems can potentially affect other subsystems. When observed system outputs are not consistent with expected behaviors, then the causal model is analyzed to present a set of diagnostic hypotheses. It is shown that this set of hypotheses is a superset of the subsystems which could account for the failure.

Original languageEnglish
Pages (from-to)716-721
Number of pages6
JournalProceedings of the American Control Conference
StatePublished - 2002
Event2002 American Control Conference - Anchorage, AK, United States
Duration: May 8 2002May 10 2002


  • Discrete event
  • Fault Diagnosis
  • Manufacturing

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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