Abstract
As discussed in Section 1.2, process monitoring measures are derived based on the data-driven, analytical, or knowledge-based approaches. This book focuses mostly on the data-driven methods, which include control charts (Shewhart, CUSUM, and EWMA charts) and dimensionality reduction techniques (PCA, PLS, FDA, and CVA). A well-trained engineer should also have some familiarity with the analytical and knowledge-based approaches since they have advantages for some process monitoring problems. The analytical approach can provide improved process monitoring when an accurate first-principles model is available. Also, both analytical and knowledge-based approaches can incorporate process flowsheet information in a straightforward way.
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© 2000 Springer-Verlag London
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Russell, E.L., Chiang, L.H., Braatz, R.D. (2000). Overview of Analytical and Knowledge-Based Approaches. In: Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-4471-0409-4_11
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DOI: https://doi.org/10.1007/978-1-4471-0409-4_11
Publisher Name: Springer, London
Print ISBN: 978-1-4471-1133-7
Online ISBN: 978-1-4471-0409-4
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