Detail publikace

Test Frequency Selection using Particle Swarm Optimization

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

7

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"
}