Tennessee Eastman Process data set

Citation Author(s):
Guoqing
Du
Submitted by:
guoqing du
Last updated:
Thu, 12/26/2024 - 10:21
DOI:
10.21227/hj84-9t76
License:
0
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Abstract 

The TE process dataset consists of a training set and a test set, and the training set and test set data consist of data from 22 different simulation runs, respectively, with each sample data containing 12 manipulated variables, 22 continuous process measurement variables, and 19 component measurement variables. The training set samples are numbered as d00.dat to d21.dat, and the test set samples are numbered as d00_te.dat to d21_te.dat. where d00.dat and d00_te.dat are the samples under normal operating conditions. d00.dat training samples are obtained under 25h running simulation. The total number of observations is 500; d00_te.dat test samples were obtained under 48h running simulation and the total number of observations is 960. d01.dat to d21.dat are training set samples with faults and d01_te.dat to d21_te.dat are test set samples with faults. Each sample in the training set\test set represents a fault. Where the training set samples with faults were obtained under a 25h running simulation. The simulation starts without faults and faults are introduced at the 1h moment of the simulation time, but the observations are collected only after the introduction of the faults, i.e., there are only 480 observations. The test set samples with faults were obtained under a 48h running simulation, the faults were introduced at the 8h time moment and a total of 960 observations were collected, of which the first 160 observations were normal data.

Instructions: 

The document describes in detail the modeling principles and data descriptions of the TE process.

Documentation

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File Data specification.pdf102.08 KB