Shocks as Burn-in
Maxim Finkelstein () and
Ji Hwan Cha ()
Additional contact information
Maxim Finkelstein: University of the Free State
Ji Hwan Cha: Ewha Womans University
Chapter Chapter 9 in Stochastic Modeling for Reliability, 2013, pp 313-361 from Springer
Abstract:
Abstract As described in the previous chapters, in conventional burn-in, the main parameter of the burn-in procedure is its duration. However, in order to shorten the length of this procedure, burn-in is most often performed in an accelerated environment. This indicates that high environmental stress can be more effective in eliminating weak items from a population. In this case, obviously, the larger values of stress should correspond to the shorter duration of burn-in. By letting the stress to increase, we can end up (as some limit) with very short (negligible) durations, in other words, shocks. In practice, the most common types of shocks as a method of burn-in are “thermal shock” and “physical drop”. In these cases, the item is subjected to a very rapid cold-to-hot, or hot-to-cold, instantaneous thermal change or the item is dropped by a “drop tester” which is specifically designed to drop it without any rotational motion, to ensure the most rigorous impact. In this case, the stress level (to be called shock’s severity) can be a controllable parameter for the corresponding optimization, which in a loose sense is an analogue of the burn-in duration in accelerated burn-in.
Keywords: Weak Items; Physical Drop; Mixture Failure Rate; Optimal Severity; Strong Subpopulation (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (73)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:spr:ssrchp:978-1-4471-5028-2_9
Ordering information: This item can be ordered from
http://www.springer.com/9781447150282
DOI: 10.1007/978-1-4471-5028-2_9
Access Statistics for this chapter
More chapters in Springer Series in Reliability Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().