INVESTIGATION OF EQUIVALENT STEP-STRESS TESTING PLANS

E. A. Elsayed, Y. Zhu, H. Zhang and H. Liao
Additional contact information
E. A. Elsayed: Department of Industrial and System Engineering, Rutgers, The State University of New Jersey, 96 Frelinghuysen Road, Piscataway, NJ 08854-8018, USA
Y. Zhu: Department of Industrial and System Engineering, Rutgers, The State University of New Jersey, 96 Frelinghuysen Road, Piscataway, NJ 08854-8018, USA
H. Zhang: Department of Industrial and System Engineering, Rutgers, The State University of New Jersey, 96 Frelinghuysen Road, Piscataway, NJ 08854-8018, USA
H. Liao: Industrial and Manufacturing Engineering Department, Wichita State University, KS, 67260, USA

Chapter 11 in Recent Advances in Stochastic Operations Research II, 2009, pp 151-170 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractAccelerated life testing (ALT) is a method for obtaining failure time data of test units quickly under more severe conditions than the normal operating conditions. Typical ALT plans require the determination of stress types, stress levels, allocation of test units to those stress levels, duration of the test and other test parameters. Traditionally, ALT is conducted under constant stresses during the entire test duration. In practice, the constantstress tests need more test unites and a long time at low stress levels to yield sufficient failure data. However, due to budget and time constraints, there are increasing necessities to design testing plans that can shorten the test duration and reduce the total cost while achieving the equivalent accuracy of reliability estimate. In this chapter, we develop an equivalent step-stress testing plan such that the reliability predictions at normal conditions using the results of this plan will be approximately “equivalent” to the corresponding constant-stress test plan but the test duration is significantly shortened. We determine the optimum parameters of the test plan through a numerical example and evaluate the equivalence of the test plans using simulation. We also investigate the sensitivity of the ALT model parameters.

Keywords: Operations Research; Uncertainty; Applied Probability; Stochastic Process; Optimization; Decision Science (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.worldscientific.com/doi/pdf/10.1142/9789812791672_0011 (application/pdf)
https://www.worldscientific.com/doi/abs/10.1142/9789812791672_0011 (text/html)
Ebook Access is available upon purchase.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:wschap:9789812791672_0011

Ordering information: This item can be ordered from

Access Statistics for this chapter

More chapters in World Scientific Book Chapters from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().