Test point selection of analog circuits based on fuzzy theory and ant colony algorithm

Author

Zhang Chao-jie ; He Guo ; Liang Shu-hai

Author_Institution

Coll. of Naval Archit. & Power, Naval Univ. of Eng., Wuhan

fYear

2008

fDate

8-11 Sept. 2008

Firstpage

164

Lastpage

168

Abstract

Optimum selection of test points can reduce the test cost by eliminating redundant measurements and is important to reduce the computation cost. In order to select the optimum test points of analog circuits, a method based on fuzzy theory and ant colony algorithm is proposed. The traditional ant colony algorithm model was updated for test point selection of analog circuits. The basic model is given and the general rule to use this method to select the optimum test points of analog circuits is described in detail. The proposed method was used in the fault diagnosis system of time delay circuit board used in the remote-control system of some marine engine. The results show that this method can educe the optimum test points and has high practical value.

Keywords

analogue circuits; fault diagnosis; fuzzy set theory; integrated circuit testing; analog circuits; ant colony algorithm; fault diagnosis; fuzzy theory; marine engine; remote-control system; test point selection; time delay circuit board; Analog circuits; Circuit faults; Circuit testing; Cost function; Delay effects; Engines; Fault diagnosis; Optimization methods; Printed circuits; System testing; analog circuits; ant colony algorithm (ACA); fault diagnosis; fuzzy theory; test point selection;

fLanguage

English

Publisher

ieee

Conference_Titel

AUTOTESTCON, 2008 IEEE

Conference_Location

Salt Lake Cirty, UT

ISSN

1088-7725

Print_ISBN

978-1-4244-2225-8

Electronic_ISBN

1088-7725

Type

conf

DOI

10.1109/AUTEST.2008.4662605

Filename

4662605