Data driven modelling has become an important aspect of modern process control and condition monitoring systems. The topic has been extensively studied in academia for several decades and applications in industry are continually increasing. In the past 20 years there has been in increased interest in the use of multivariate statistical techniques in the process industries. This interest has arisen from the need to identify techniques that are able to cope with the highly correlated data sets that are encountered in these industries as levels of instrumentation increase.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:492831 |
| Date | January 2008 |
| Creators | Shamekh, Awad Rasheed |
| Publisher | University of Manchester |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
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