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- Title
TEST FREQUENCY SELECTION USING PARTICLE SWARM OPTIMIZATION.
- Authors
KINCL, Zdenek; KOLKA, Zdenek
- 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.
- Subjects
PARTICLE swarm optimization; SET theory; GENETIC algorithms; STOCHASTIC convergence; SENSITIVITY analysis
- Publication
Advances in Electrical & Electronic Engineering, 2013, Vol 11, Issue 6, p507
- ISSN
1336-1376
- Publication type
Article
- DOI
10.15598/aeee.v11i6.912