Integrated Projection and Regression Models for Monitoring Multivariate Autocorrelated Cascade Processes
This dissertation presents a comprehensive methodology of dual monitoring for the multivariate autocorrelated cascade processes using principal component analysis and regression. Principle Components Analysis is used to alleviate the multicollinearity among input process variables and reduce the dim...
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| Format: | Others |
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North Dakota State University
2018
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| Online Access: | https://hdl.handle.net/10365/27569 |