The importance of selecting the optimal number of principal components for fault detection using principal component analysis
Includes summary. === Includes bibliographical references. === Fault detection and isolation are the two fundamental building blocks of process monitoring. Accurate and efficient process monitoring increases plant availability and utilization. Principal component analysis is one of the statistical t...
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| Format: | Dissertation |
| Language: | English |
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University of Cape Town
2015
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| Online Access: | http://hdl.handle.net/11427/11930 |