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KINCL, Z. KOLKA, Z.
Original Title
Test Frequency Selection using Particle Swarm Optimization
Type
journal article - other
Language
English
Original Abstract
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.
Keywords
fault diagnosis, frequency set selection, GA, PSO, test index measure.
Authors
KINCL, Z.; KOLKA, Z.
RIV year
2013
Released
31. 12. 2013
Publisher
VSB–Technical University of Ostrava, Faculty of Electrical Engineering and Computer Science
Location
Ostrava
ISBN
1336-1376
Periodical
Advances in Electrical and Electronic Engineering
Year of study
11
Number
5
State
Slovak Republic
Pages from
1
Pages to
7
Pages count
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" }