NDLI: Optimal communication distributed Petri net based diagnosers of Discrete event systems

Content Provider	IEEE Xplore Digital Library
Author	Aramburo-Lizarraga, J. Ramirez-Trevino, A. Lopez-Mellado, E.
Copyright Year	2011
Description	Author affiliation: CUCEA Universidad de Guadalajara, Zapopan, Jalisco, México (Aramburo-Lizarraga, J.) \|\| CINVESTAV Unidad Guadalajara, Zapopan, Jalisco, México (Ramirez-Trevino, A.; Lopez-Mellado, E.)
Abstract	This paper deals with distributed model-based diagnosers of partially observable Discrete event systems (DES). The problem of partitioning an interpreted Petri net (IPN) diagnoser model into m modules is addressed; in such a manner that minimal communication among modules is guaranteed. Two main contributions cope with this problem. First the communication-dependence fault graph (CDFG) is introduced; it represents both the system faults (edges) and the measurable places associated to each fault (vertices). In the graph, two and more faults incident to a vertex vk, means that the detection and location of these faults is based on the partial output information represented by vk. The second contribution is a polynomial algorithm that exploits the CDFG to compute m diagnoser models in such a way that the number of exchanged messages is minimal.
Starting Page	1
Ending Page	7
File Size	441998
Page Count	7
File Format	PDF
ISBN	9781457710117
e-ISBN	9781457710131
DOI	10.1109/ICEEE.2011.6106695
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-26
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Distributed models Firing Computational modeling Image edge detection Petri nets Communication channels Computer architecture Vectors Diagnosis Optimal models
Content Type	Text
Resource Type	Article

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