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Diagnosability of automated production systems using Petri net based models
Sekhri, L.; Toguyeni, A.K.A.; Craye, E.;
Systems, Man and Cybernetics, 2004 IEEE International Conference on
Volume 6,
10-13 Oct. 2004
Page(s):5091
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5096 vol.6
Abstract:
This paper presents a method for studying diagnosability of automated production systems (APS) using Petri nets theory. APS are assumed to be modeled as functional graphs. The method enables a systematic translation of functional graphs into Petri nets called functional nets that preserve their semantic (causal relations). Our method is based on motif recognition and a priority rule between these motifs. The method exploits the functional graph hierarchy to capture motifs between levels in a functional graph. Properties of functional nets are discussed and propositions are given to analyze the nets to obtain information about the diagnosability in functional graphs.
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