Corpus ID: 231951384

Experimental Designs for Accelerated Degradation Tests Based on Linear Mixed Effects Models

  title={Experimental Designs for Accelerated Degradation Tests Based on Linear Mixed Effects Models},
  author={Helmi Shat and Rainer Schwabe},
Accelerated degradation testing has considerable significance in reliability engineering due to its ability to provide accurate estimation of lifetime charachteristic of highly reliable systems within a relatively short testing time period. The measured date from particular experiments at high stress conditions are extrapolated, through a technically reasonable statistical model, to obtain estimates of certain reliability properties under normal use levels. In this work we consider repeated… Expand

Figures and Tables from this paper

Optimal Design of Stress Levels in Accelerated Degradation Testing for Multivariate Linear Degradation Models
In recent years, more attention has been paid prominently to accelerated degradation testing in order to characterize accurate estimation of reliability properties for systems that are designed toExpand
Optimal Time Plan in Accelerated Degradation Testing
Many highly reliable products are designed to function for years without failure. For such systems accelerated degradation testing may provide significance information about the reliabilityExpand
Optimal Stress Levels in Accelerated Degradation Testing for Various Degradation Models
Accelerated degradation tests are used to provide accurate estimation of lifetime characteristics of highly reliable products within a relatively short testing time. Data from particular tests atExpand


Reliability Inference for Field Conditions from Accelerated Degradation Testing
An ADT model obtained from constant-stress ADT experiments is extended to predict field reliability by considering the stress variations, and the accuracy of the procedure is verified by simulation using various distributions of field stresses. Expand
Methods for planning repeated measures accelerated degradation tests
Repeated measures accelerated degradation tests can sometimes be used to assess product or component reliability when one would expect few or even no failures during a study. Such tests can be usedExpand
Optimal design of accelerated degradation tests based on Wiener process models
Optimal accelerated degradation test (ADT) plans are developed assuming that the constant-stress loading method is employed and the degradation characteristic follows a Wiener process. Unlike theExpand
A literature review on planning and analysis of accelerated testing for reliability assessment
Different types of test planning strategies are categorized, and their drawbacks and the research trends are provided to assist researchers and practitioners in conducting new research in this area. Expand
Optimal design of constant-stress accelerated degradation tests using the M-optimality criterion
Results show that, with a slightly relaxed requirement of evaluation precision and prediction accuracy, the proposed optimum plan reduces the dispersion of the estimated acceleration factor between the usage stress level and a higher accelerated stress level, which makes an important contribution to reliability demonstration and assessment tests. Expand
Statistical inference of a time-to-failure distribution derived from linear degradation
In the study of semiconductor degradation, records of transconductance loss or threshold voltage shift over time are useful in constructing the cumulative distribution function (cdf) of the timeExpand
Design of an optimal plan for an accelerated degradation test: a case study
Purpose – To design an optimal accelerated degradation test (ADT) plan for light emitting diodes (LEDs).Design/methodology/approach – This paper presents a method for the optimum planning of ADTs.Expand
A new class of Wiener process models for degradation analysis
A new class of random effects model for the Wiener process model is proposed and one of the parameters is allowed to be random across the product population so that a unit with a high degradation rate would also possess high volatility. Expand
Optimal designs for random effect models with correlated errors with applications in population phar
A new approach is introduced to determine efficient designs for nonlinear least squares estimation which addresses the problem of correlation between observations corresponding to the same subject, using asymptotic arguments to derive optimal design densities. Expand
Statistical Methods for Reliability Data
Statistical Methods For Reliability Data updates and improves established techniques as it demonstrates how to apply the new graphical, numerical, or simulation-based methods to a broad range of models encountered in reliability data analysis. Expand