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Discussion of ‘Methods for planning repeated measures accelerated degradation tests’ by B. Weaver and W. Q. Meeker

Discussion of ‘Methods for planning repeated measures accelerated degradation tests’ by B. Weaver... The authors are to be commended for their important contributions to the area of reliability test planning. The planning of repeated measures accelerated degradation test (RMADT) is usually more challenging than the planning of accelerated life test (ALT) (e.g., , and ) and accelerated destructive degradation test (ADDT) (e.g., ). Different from ALT and ADDT models, for most RMADT models, one usually cannot obtain a closed‐form expression for the CDF of the induced time to failure T . Without closed‐form expressions, the test planning could be challenging. Based on linear models assumption (or models that can be transformed into linear models), the authors have done a great job in obtaining closed‐form expressions for the asymptotic variance of the estimator of the p quantile, t p , which is a key step in the test planning. We would like to discuss some ideas that leverage on numerical methods and modern computing power and how such ideas may be used to extend the current work to more general models. In general, the degradation‐path model can be nonlinear (e.g., the degradation model used in ) so that there is no closed‐form expressions for the CDF of T . Let D ( http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Stochastic Models in Business and Industry Wiley

Discussion of ‘Methods for planning repeated measures accelerated degradation tests’ by B. Weaver and W. Q. Meeker

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References (7)

Publisher
Wiley
Copyright
Copyright © 2014 John Wiley & Sons, Ltd.
ISSN
1524-1904
eISSN
1526-4025
DOI
10.1002/asmb.2054
Publisher site
See Article on Publisher Site

Abstract

The authors are to be commended for their important contributions to the area of reliability test planning. The planning of repeated measures accelerated degradation test (RMADT) is usually more challenging than the planning of accelerated life test (ALT) (e.g., , and ) and accelerated destructive degradation test (ADDT) (e.g., ). Different from ALT and ADDT models, for most RMADT models, one usually cannot obtain a closed‐form expression for the CDF of the induced time to failure T . Without closed‐form expressions, the test planning could be challenging. Based on linear models assumption (or models that can be transformed into linear models), the authors have done a great job in obtaining closed‐form expressions for the asymptotic variance of the estimator of the p quantile, t p , which is a key step in the test planning. We would like to discuss some ideas that leverage on numerical methods and modern computing power and how such ideas may be used to extend the current work to more general models. In general, the degradation‐path model can be nonlinear (e.g., the degradation model used in ) so that there is no closed‐form expressions for the CDF of T . Let D (

Journal

Applied Stochastic Models in Business and IndustryWiley

Published: Jan 1, 2014

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