Degradation models and implied lifetime distributions

In experiments where failure times are sparse, degradation analysis is useful for the analysis of failure time distributions in reliability studies. This research investigates the link between a practitioner's selected degradation model and the resulting lifetime model. Simple additive and mult...

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Bibliographic Details
Published inReliability engineering & system safety Vol. 92; no. 5; pp. 601 - 608
Main Authors Bae, Suk Joo, Kuo, Way, Kvam, Paul H.
Format Journal Article
LanguageEnglish
Published Oxford Elsevier Ltd 01.05.2007
Elsevier
Subjects
Additive model
Applied sciences
Bathtub and increasing failure rates
Exact sciences and technology
Operational research and scientific management
Operational research. Management science
Random effects
Reliability theory. Replacement problems
Stochastic ordering
Stochastic ordering
Bathtub and increasing failure rates
Random effects
Additive model
Probabilistic approach
Durability
Failure rate
Modeling
Lifetime
Break up time
Failure analysis
Ordering
Random effect
Reliability
Time analysis
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Summary:In experiments where failure times are sparse, degradation analysis is useful for the analysis of failure time distributions in reliability studies. This research investigates the link between a practitioner's selected degradation model and the resulting lifetime model. Simple additive and multiplicative models with single random effects are featured. Results show that seemingly innocuous assumptions of the degradation path create surprising restrictions on the lifetime distribution. These constraints are described in terms of failure rate and distribution classes.
ISSN:0951-8320
1879-0836
DOI:10.1016/j.ress.2006.02.002