Publication detail

Test Frequency Selection using Particle Swarm Optimization

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

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"
}