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Tennessee Eastman Process

  • Leo H. Chiang
  • Evan L. Russell
  • Richard D. Braatz
Part of the Advanced Textbooks in Control and Signal Processing book series (C&SP)

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].

Keywords

Process Monitoring Manipulate Variable Process Flowsheet Description Stream Eastman Chemical Company 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London 2001

Authors and Affiliations

  • Leo H. Chiang
    • 1
  • Evan L. Russell
    • 2
  • Richard D. Braatz
    • 1
  1. 1.Department of Chemical EngineeringUniversity of Illinois at Urbana-ChampaignUrbanaUSA
  2. 2.ExxonMobil Upstream Reasearch CompanyHoustonUSA

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