Field Failure Prediction Using Dynamic Environmental Data Hong, Yili Meeker, William
dc.contributor.department Statistics 2018-02-16T21:01:00.000 2020-07-02T06:56:22Z 2020-07-02T06:56:22Z 2011-01-01
dc.description.abstract <p>Due to the dynamics of the environment and the variability on the product usage, product units in the field are usually exposed to varying failure-causing stresses. Some products are equipped with sensors and smart chips that measure and record usage/ environmental information over the life of the product. For some products, it is possible to track environmental variables dynamically, even in real time, providing useful information for field-failure prediction. In many applications, predictions are needed for individual units, giving the remaining life of individuals, and for the population, giving the cumulative number of failures at a future time. It is always desirable to obtain more accurate predictions for both the population and the individuals. This paper outlines a model and methods that can be used for field-failure prediction using dynamic environmental data. Multivariate time series models are also used to describe the dynamic covariate information. The cumulative exposure model is used to link the explanatory variables which are recorded as a multivariate time series, and the failuretime model.</p>
dc.description.comments <p>This preprint was published as Yili Hong and William Q. Meeker, "A Model for Field Failure Prediction Using Dynamic Environmental Data", <em>Mathematical and Statistical Models and Methods in Reliability</em> (2010): 223-233, doi: <a href="" target="_blank">10.1007/978-0-8176-4971-5_16</a>.</p>
dc.identifier archive/
dc.identifier.articleid 1076
dc.identifier.contextkey 7418755
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath stat_las_preprints/72
dc.language.iso en
dc.source.bitstream archive/|||Sat Jan 15 01:44:00 UTC 2022
dc.subject.disciplines Statistics and Probability
dc.subject.keywords cumulative exposure model
dc.subject.keywords covariate process
dc.subject.keywords failure time data
dc.subject.keywords multivariate time series
dc.subject.keywords reliability
dc.subject.keywords usage history
dc.title Field Failure Prediction Using Dynamic Environmental Data
dc.type article
dc.type.genre article
dspace.entity.type Publication
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relation.isOrgUnitOfPublication 264904d9-9e66-4169-8e11-034e537ddbca
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