Generating optimal design for ALT experiment with time censoring

Author

Saleh, Mohamad ; Pan, Rui

Author_Institution

Sch. of Comput., Inf. & Decision Syst. Eng., Arizona State Univ., Tempe, AZ, USA

fYear

2013

fDate

28-31 Jan. 2013

Firstpage

1

Lastpage

6

Abstract

The computer generated optimal experimental designs have become popular as the computational capabilities of computers grow. For example, the optimal test plans of accelerated life tests (ALT) have received a lot of attentions from academia and practitioners in recent years. In this paper, we discuss a computational method for finding the D-optimal ALT plans through the generalized linear model (GLM) of accelerated life testing problem. A modified version of the point exchange algorithm (PEA) is developed. By comparing this algorithm with the quasi Newton method on an ALT planning problem, we demonstrate the superiority of our method in terms of speed and accuracy.

Keywords

Newton method; design of experiments; life testing; ALT experiment; ALT planning problem; GLM; PEA; accelerated life test; computer generated optimal experimental design; generalized linear model; optimal design generation; point exchange algorithm; quasiNewton method; time censoring; Algorithm design and analysis; Equations; Hazards; Life estimation; Mathematical model; Newton method; Vectors; Weibull distribution; censoring; design of experiments; optimal designs; point exchange algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Reliability and Maintainability Symposium (RAMS), 2013 Proceedings - Annual

Conference_Location

Orlando, FL

ISSN

0149-144X

Print_ISBN

978-1-4673-4709-9

Type

conf

DOI

10.1109/RAMS.2013.6517665

Filename

6517665