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To Burn-In, or Not to Burn-In: That’s the Question

Departments of Mechanics and Materials, and Electrical and Computer Engineering, Portland State University, Portland, OR 97207, USA
Department of Electronic Materials, Technical University, A-1040 Vienna, Austria
ERS Co., 727 Alvina Ct., Los Altos, CA 94024, USA
Aerospace 2019, 6(3), 29;
Received: 7 January 2019 / Revised: 11 February 2019 / Accepted: 1 March 2019 / Published: 6 March 2019
(This article belongs to the Special Issue Challenges in Reliability Analysis of Aerospace Electronics)
PDF [630 KB, uploaded 6 March 2019]


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. View Full-Text
Keywords: burn-in process; bathtub curve; infant mortality portion; failure rate; statistical failure rate burn-in process; bathtub curve; infant mortality portion; failure rate; statistical failure rate

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Suhir, E. To Burn-In, or Not to Burn-In: That’s the Question. Aerospace 2019, 6, 29.

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