Six Sigma Blackbelt at Intel Corporation.
A generalized linear model approach to designing accelerated life test experiments
Article first published online: 18 NOV 2010
Copyright © 2010 John Wiley & Sons, Ltd.
Quality and Reliability Engineering International
Volume 27, Issue 4, pages 595–607, June 2011
How to Cite
Monroe, E. M., Pan, R., Anderson-Cook, C. M., Montgomery, D. C. and Borror, C. M. (2011), A generalized linear model approach to designing accelerated life test experiments. Qual. Reliab. Engng. Int., 27: 595–607. doi: 10.1002/qre.1143
- Issue published online: 23 MAY 2011
- Article first published online: 18 NOV 2010
- design of experiments;
- optimal designs;
- use condition;
- Weibull distribution
Optimal experimental design practices are prominent in many applications. This paper proposes an alternate way of computing the information matrix, a key consideration in planning an accelerated life test. The generalized linear model approach allows optimal designs to be computed using iteratively weighted least-square solutions versus a maximum likelihood method. This approach is demonstrated with an assumed exponential distribution and allows the practitioner to observe the underlying structure of the optimal experimental design matrix and its relationship to important factors such as censoring and a nonlinear response function. Optimality criteria are discussed for both parameter estimation and prediction variance at an intended usage condition, which is typically outside the feasible accelerated test region. Copyright © 2010 John Wiley & Sons, Ltd.