Tennessee Eastman Process. Russell, E. L., Chiang, L. H., & Braatz, R. D. In Russell, E. L., Chiang, L. H., & Braatz, R. D., editors, Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes, of Advances in Industrial Control, pages 99–108. Springer, London, 2000. ![Tennessee Eastman Process [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex In Part IV the various data-driven process monitoring statistics are compared through application to a simulation of a chemical plant. The methods would ideally be illustrated on data collected during specific known faults from an actual chemical process, but this type of data is not publicly available for any large scale chemical plant. Instead, many academics in process monitoring perform studies based on data collected from computer simulations of a chemical 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 [10, 24, 62, 63, 74, 77, 125, 133, 187, 189, 188].
@incollection{russell_tennessee_2000,
address = {London},
series = {Advances in {Industrial} {Control}},
title = {Tennessee {Eastman} {Process}},
isbn = {978-1-4471-0409-4},
url = {https://doi.org/10.1007/978-1-4471-0409-4_8},
abstract = {In Part IV the various data-driven process monitoring statistics are compared through application to a simulation of a chemical plant. The methods would ideally be illustrated on data collected during specific known faults from an actual chemical process, but this type of data is not publicly available for any large scale chemical plant. Instead, many academics in process monitoring perform studies based on data collected from computer simulations of a chemical 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 [10, 24, 62, 63, 74, 77, 125, 133, 187, 189, 188].},
language = {en},
urldate = {2021-11-18},
booktitle = {Data-driven {Methods} for {Fault} {Detection} and {Diagnosis} in {Chemical} {Processes}},
publisher = {Springer},
author = {Russell, Evan L. and Chiang, Leo H. and Braatz, Richard D.},
editor = {Russell, Evan L. and Chiang, Leo H. and Braatz, Richard D.},
year = {2000},
doi = {10.1007/978-1-4471-0409-4_8},
keywords = {Homework Problem, Manipulate Variable, Process Monitoring, Reactor Cool Water, Water Inlet Temperature},
pages = {99--108},
}
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