Skip to main navigation Skip to search Skip to main content

Evolutionary system for analog test frequencies selection with fuzzy initialization

  • Silesian University of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 2007 IEEE Workshop on Design and Diagnostics of Electronic Circuits and Systems, DDECS
Pages353-356
Number of pages4
DOIs
Publication statusPublished - 2007
Event2007 IEEE Workshop on Design and Diagnostics of Electronic Circuits and Systems, DDECS - Krakow, Poland
Duration: 11 Apr 200713 Apr 2007

Publication series

NameProceedings of the 2007 IEEE Workshop on Design and Diagnostics of Electronic Circuits and Systems, DDECS

Conference

Conference2007 IEEE Workshop on Design and Diagnostics of Electronic Circuits and Systems, DDECS
Country/TerritoryPoland
CityKrakow
Period11/04/0713/04/07

Keywords

  • Ambiguity set
  • Analog testing
  • Embedded system
  • Evolutionary computations
  • Fuzzy sets

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Evolutionary system for analog test frequencies selection with fuzzy initialization'. Together they form a unique fingerprint.

Cite this