Adaptive Fault Diagnoser based on PSO Algorithm for a class of Timed Continuous Petri Nets

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F16%3A00462468" target="_blank" >RIV/67985556:_____/16:00462468 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ETFA.2016.7733587" target="_blank" >http://dx.doi.org/10.1109/ETFA.2016.7733587</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ETFA.2016.7733587" target="_blank" >10.1109/ETFA.2016.7733587</a>

Result language
angličtina
Original language name
Adaptive Fault Diagnoser based on PSO Algorithm for a class of Timed Continuous Petri Nets
Original language description
This work is concerned with the implementation of an Adaptive Fault Diagnoser (AFD) for a system modeled by Timed Continuous Petri Nets under infinite server semantics, where the set of potential faults is a priori known, however their presence during system evolution, type, location, occurrence time, magnitude and behavior over time are unknown. There exist previous works reported in literature, where this problem has been solved, unfortunately the number of diagnosers used to detect, isolate and identify the fault is too large. Now, this work proposes a single diagnoser model where its structure is known and some of its parameters are updated depending on the fault occurrence. Considering this model, identification algorithms, based on heuristic optimization methods, are used to identify these unknown fault parameters. The analysis of the diagnoser parameters allows the faults detection, isolation and identification. The effectiveness of the proposed diagnoser is shown through two examples with different fault behaviors.
Czech name
—
Czech description
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Project
<a href="/en/project/GA13-20433S" target="_blank" >GA13-20433S: Analysis and control of globally decomposed strongly nonlinear state space dynamical models with complex interactions of their components</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of 2016 IEEE 21th Conference on Emerging Technologies & Factory Automation (ETFA)
ISBN
978-1-5090-1314-2
ISSN
—
e-ISSN
—
Number of pages
7
Pages from-to
—
Publisher name
IEEE
Place of publication
Berlin
Event location
Berlin
Event date
Sep 6, 2016
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000389524200094

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