Identifying nonlinear variaiton patterns in multivariate manufacturing processes
This dissertation develops a set of nonlinear variation pattern identification methods that are intended to aid in diagnosing the root causes of product variability in complex manufacturing processes, in which large amounts of high dimensional in-process measurement data are collected for quality co...
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| Format: | Others |
| Language: | en_US |
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Texas A&M University
2005
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| Online Access: | http://hdl.handle.net/1969.1/1373 |