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
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;
Conference_Titel :
Prognostics and System Health Management Conference (PHM-2014 Hunan), 2014
Conference_Location :
Zhangiiaijie
Print_ISBN :
978-1-4799-7957-8
DOI :
10.1109/PHM.2014.6988213
