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Detail publikace
KINCL, Z. KOLKA, Z.
Originální název
Test Frequency Selection using Particle Swarm Optimization
Typ
článek v časopise - ostatní, Jost
Jazyk
angličtina
Originální abstrakt
The paper deals with the problem of test frequency selection for multi-frequency parametric fault diagnosis of analog linear circuits. An appropriate set of test frequencies is determined by minimizing the conditionality of the sensitivity matrix based on the system of fault equations using a global stochastic optimization. A novel method based on the Particle Swarm Optimization, which provides more accurate results and improves the convergence rate, is described. The paper provides several practical examples of its application to test frequency selection for active RC filters. A comparison of the results obtained by the proposed method and by the Genetic Algorithm is also presented.
Klíčová slova
fault diagnosis, frequency set selection, GA, PSO, test index measure.
Autoři
KINCL, Z.; KOLKA, Z.
Rok RIV
2013
Vydáno
31. 12. 2013
Nakladatel
VSB–Technical University of Ostrava, Faculty of Electrical Engineering and Computer Science
Místo
Ostrava
ISSN
1336-1376
Periodikum
Advances in Electrical and Electronic Engineering
Ročník
11
Číslo
5
Stát
Slovenská republika
Strany od
1
Strany do
7
Strany počet
BibTex
@article{BUT102673, author="Zdeněk {Kincl} and Zdeněk {Kolka}", title="Test Frequency Selection using Particle Swarm Optimization", journal="Advances in Electrical and Electronic Engineering", year="2013", volume="11", number="5", pages="1--7", issn="1336-1376" }