Authors: E. A. Elsayed, Lixia Jiao
Addresses: Rutgers, The State University of New Jersey, Department of Industrial Engineering, 96 Frelinghuysen Road, Piscataway, NJ 08854-8018, USA. ' Rutgers, The State University of New Jersey, Department of Industrial Engineering, 96 Frelinghuysen Road, Piscataway, NJ 08854-8018, USA
Abstract: Accelerated life testing (ALT) is a widely used approach that estimates reliability of components or systems at normal operating conditions using data obtained at accelerated conditions. The accuracy of reliability estimates depends on the stress types, stress levels and corresponding sample sizes. In this paper, we present an efficient and practical approach for determining the appropriate stress levels and sample sizes of test units so as to obtain the most accurate reliability estimates at normal operating conditions. The optimal test plans are based on the proportional hazards model.
Keywords: accelerated life testing; maximum likelihood estimate; minimisation of variance; proportional hazards; reliability estimation; stress levels; sample sizes.
International Journal of Materials and Product Technology, 2002 Vol.17 No.5/6, pp.411 - 424
Published online: 11 Oct 2004 *Full-text access for editors Access for subscribers Purchase this article Comment on this article