A Bayesian on-line change detection algorithm with process monitoring applications

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dc.contributor.author Sarkar, Pradipta
dc.contributor.author Meeker, William
dc.contributor.author Meeker, William
dc.contributor.department Statistics
dc.date 2018-02-16T03:47:49.000
dc.date.accessioned 2020-07-02T06:55:47Z
dc.date.available 2020-07-02T06:55:47Z
dc.date.issued 1998
dc.description.abstract <p>This work has been motivated by some issues of process monitoring in casting applications. In die casting, as time passes, material is deposited on the inside wall of the die. This foreign material can cause an unacceptable level of porosity in the output of the casting process. After accumulated material reaches a certain level, some of the output of the casting process no longer meets the specifications and the process must be stopped to clean the die. Sudden changes in output quality are also common in casting processes. The degree of porosity of the output of the casting process changes suddenly if, for example, one opens the door of the production facility thereby changing the laboratory temperature, causing an immediate larger accumulation of foreign material. Also day-to-day variation in weather, changes in humidity, and other factors can be responsible for this kind of change.</p>
dc.description.comments <p>This preprint has been published in <em>Quality Engineering</em> 10 (1998): 539- 549..</p>
dc.identifier archive/lib.dr.iastate.edu/stat_las_preprints/1/
dc.identifier.articleid 1004
dc.identifier.contextkey 6968377
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath stat_las_preprints/1
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/90256
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/stat_las_preprints/1/1997_01.pdf|||Fri Jan 14 17:31:15 UTC 2022
dc.source.uri 10.1080/08982119808919168
dc.subject.disciplines Statistics and Probability
dc.subject.keywords Nondestructive testing
dc.subject.keywords Nondestructive evaluation
dc.subject.keywords Empirical and hierarchical Bayes
dc.subject.keywords Rejection sampling
dc.subject.keywords Trend
dc.title A Bayesian on-line change detection algorithm with process monitoring applications
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication a1ae45d5-fca5-4709-bed9-3dd8efdba54e
relation.isOrgUnitOfPublication 264904d9-9e66-4169-8e11-034e537ddbca
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