Abstract
This chapter deals with design and analysis of experiments for accelerated testing and reliability improvement. Accelerated testing is a commonly used approach for timely assessment of reliability during product design and development. The first part of the chapter describes models, inference, and design for accelerated test experiments with time-to-failure data. We discuss applications of fractional factorial designs for reliability improvement and the complications introduced by the presence of censored data. Robust design studies for variation reduction are also briefly reviewed. The availability of degradation data mitigates many of the problems encountered with censored time-to-failure data. We review some models and issues on the design and analysis of experiments with degradation data.
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Nair, V.N., Escobar, L.A., Hamada, M.S. (2004). Design and Analysis of Experiments for Reliability Assessment and Improvement. In: Soyer, R., Mazzuchi, T.A., Singpurwalla, N.D. (eds) Mathematical Reliability: An Expository Perspective. International Series in Operations Research & Management Science, vol 67. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-9021-1_8
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