Published In
Aerospace
Document Type
Article
Publication Date
3-2019
Subjects
Statistical failure rate -- analysis, Burn-in testing -- research
Abstract
In this paper it is shown that the bathtub-curve (BTC) based time-derivative of the failure rate at the initial moment of time can be considered as a suitable criterion of whether burn-in testing (BIT) should or does not have to be conducted. It is also shown that the above criterion is, in effect, the variance of the random statistical failure rate (SFR) of the mass-produced components that the product manufacturer received from numerous vendors, whose commitments to reliability were unknown, and their random SFR might vary therefore in a very wide range, from zero to infinity. A formula for the non-random SFR of a product comprised of mass-produced components with random SFRs was derived, and a solution for the case of the normally distributed random SFR was obtained.
Locate the Document
PSU Affiliates: https://doi.org/10.3390/aerospace6030029
DOI
10.3390/aerospace6030029
Persistent Identifier
https://archives.pdx.edu/ds/psu/28060
Citation Details
Suhir, E. (2019). To Burn-In, or Not to Burn-In: That’s the Question. Aerospace, 6(3), 29.
Description
© 2019 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).