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Determination and interpretation of
activation energy using accelerated-test data
Groebel,
D.J. Mettas, A. Sun, F.-B.
ReliaSoft Corp., Tucson,
AZ;
This paper appears
in: Reliability and Maintainability Symposium, 2001.
Proceedings. Annual
Meeting
Date: 01/22/2001 -01/25/2001
Publication
Date: 2001
Location:
Philadelphia, PA ,
USA
On page(s):
58-63
References Cited:
6
Number of Pages:
x+95
Abstract:
The activation energy is an indication of effect
that the covariate (temperature, humidity, etc.) has on the life of
the product. An incorrect assumption on the value of the activation
energy can lead to an incorrect deduction regarding the effect that
the covariate has on the product, as well as an erroneous
calculation of the acceleration factor. Estimating the activation
energy based on the accelerated-test data removes all of the
guesswork when it comes time to decide on a value. The idea of
estimating the activation energy based on data is not exactly a new
idea, but now this process can be conducted more easily. In the
past, the process was long and tedious and involved a lot of
iterative calculations. But now, the ability to estimate the
activation energy based on collected accelerated-test data has been
implemented within a software package, ALTATM, which is
expressly designed for accelerated life testing analysis. The
activation energy can be determined by simply making it one of the
unknown parameters that need to be estimated. In doing so, the
problems which arise from selecting an activation energy have been
removed, and the data alone dictates the value. To illustrate this,
accelerated life test data was collected on thermally stressed hard
drive systems and analyzed using the Arrhenius-Weibull model. The
parameters of the Arrhenius model are then estimated using maximum
likelihood theory. Once the parameters of the life-stress
relationship are obtained, the activation energy can then be easily
estimated, along with the acceleration factor
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