Evolutionary System for Analog Test Frequencies Selection with Fuzzy Initialization

Author

Golonek, T. ; Grzechca, D. ; Rutkowski, J.

Author_Institution

Silesian Univ. of Technol., Gliwice

fYear

2007

fDate

11-13 April 2007

Firstpage

1

Lastpage

4

Abstract

The evolutionary technique of test frequencies selection for analog sinusoidal stimuli set is described in this paper. The proposed method bases on ambiguity set concept and evolutionary algorithm that has been executed for fuzzy and weighted fitness functions. The proposed approach to analog testing allows to achieve high efficiency for practical circuits under test with tolerance dispersions and test inaccuracies presence. Optimization system has been implemented with the use of the MicroBlaze embedded processor on Virtex4 ML-401 platform.

Keywords

circuit testing; evolutionary computation; fuzzy set theory; ambiguity set concept; analog sinusoidal stimuli set; analog test frequencies selection; evolutionary algorithm; fuzzy initialization; Circuit faults; Circuit simulation; Circuit testing; Evolutionary computation; Frequency; Fuzzy sets; Fuzzy systems; Production; System testing; Voltage; ambiguity set; analog testing; embedded system; evolutionary computations; fuzzy sets;

fLanguage

English

Publisher

ieee

Conference_Titel

Design and Diagnostics of Electronic Circuits and Systems, 2007. DDECS '07. IEEE

Conference_Location

Krakow

Print_ISBN

1-4244-1162-9

Electronic_ISBN

1-4244-1162-9

Type

conf

DOI

10.1109/DDECS.2007.4295311

Filename

4295311