Abstract
In Part IV the various data-driven process monitoring statistics are compared through application to a simulation of an industrial plant. The methods would ideally be illustrated on data collected during specific known faults from an actual industrial process, but this type of data is not publicly available for any large-scale industrial plant. Instead, many academics in process monitoring perform studies based on data collected from computer simulations of an industrial process. The process monitoring methods in this book are tested on the data collected from the process simulation for the Tennessee Eastman process (TEP). The TEP has been widely used by the process monitoring community as a source of data for comparing various approaches [16, 39, 40, 46, 99, 100, 113, 117, 183, 191, 270, 272, 271, 278, 279].
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