Test Frequency Selection Using Particle Swarm Optimization

Autor:	Zdenek Kincl, Zdenek Kolka
Jazyk:	angličtina
Rok vydání:	2013
Předmět:	fault diagnosis frequency set selection ga pso test index measure. Electrical engineering. Electronics. Nuclear engineering TK1-9971
Zdroj:	Advances in Electrical and Electronic Engineering, Vol 11, Iss 6, Pp 507-513 (2013)
Druh dokumentu:	article
ISSN:	1336-1376 1804-3119
DOI:	10.15598/aeee.v11i6.912
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/851df6d8ec6948308868400900c93f5a Zobrazit plný text záznamu View record in DOAJ