Title :
Evolutionary System for Analog Test Frequencies Selection with Fuzzy Initialization
Author :
Golonek, T. ; Grzechca, D. ; Rutkowski, J.
Author_Institution :
Silesian Univ. of Technol., Gliwice
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;
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
DOI :
10.1109/DDECS.2007.4295311
