DocumentCode
1769229
Title
A method of testability optimization based on improved particle swarm optimization
Author
Wenkui Hou ; Guoping Yao ; Junfeng Yan
Author_Institution
Sch. of Reliability & Syst. Eng., Beihang Univ., Beijing, China
fYear
2014
fDate
24-27 Aug. 2014
Firstpage
451
Lastpage
455
Abstract
This paper proposed an optimization algorithm based on information flow testability modeling to optimize the selection of TPs. This method is an improved particle swarm intelligence algorithm based on the traditional fuzzy particle swarm algorithm. And improvements were made according to the features of dependence matrix. Software simulation was made to proof this methods.
Keywords
design for testability; failure analysis; matrix algebra; particle swarm optimisation; TP selection; dependence matrix; design for testability; failure analysis; information flow testability modelling; optimization algorithm; particle swarm optimization; software simulation; test point; testability optimization method; Algorithm design and analysis; Analytical models; Educational institutions; Optimization; Particle swarm optimization; Software; Software algorithms; D-matrix; optimization problem; particle swarm optimization; testability dsign;
fLanguage
English
Publisher
ieee
Conference_Titel
Prognostics and System Health Management Conference (PHM-2014 Hunan), 2014
Conference_Location
Zhangiiaijie
Print_ISBN
978-1-4799-7957-8
Type
conf
DOI
10.1109/PHM.2014.6988213
Filename
6988213
Link To Document