Using Degradation Data to Assess Reliability

Part of the Springer Series in Statistics book series (SSS)

While reliability analysts have long used lifetime data for product/process reliability assessments, they began to employ degradation data for the same purpose in the 1990s. Assessing reliability with degradation data has a number of advantages. The analyst does not have to wait for failures to occur and can use less acceleration to collect degradation data. This chapter explains how to assess reliability using degradation data and also discusses how to accommodate covariates such as acceleration factors that speed up degradation and experimental factors that impact reliability in reliability improvement experiments. We also consider situations in which degradation measurements are destructive and conclude by introducing alternative stochastic models for degradation data.


Posterior Distribution Markov Chain Monte Carlo Weibull Distribution Credible Interval Deviance Information Criterion 
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© Springer Science+Business Media, LLC 2008

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