Data for: Dynamic Reconstruction Based Representation Learning for Multivariable Process Monitoring

As a public benchmark of chemical industrial process, TEP is well suited for multivariable control problems. This simulation data can be downloaded from the website: http://web.mit.edu/braatzgroup/links.html The 41 measured variables, with the 22 continuous measurements are sampled with the sampling interval of 3mins, while the 19 composition variables are generated at time delays that vary from 6 to 15mins. 21 types of identified faults are inside. Each faulty state consists of 480 samples that are used as training dataset, and 960 samples are used as testing dataset with faults induced after 8 hours, which corresponds to 160 samples.作为化工过程领域的公开基准测试集，TEP十分适用于多变量控制问题。该仿真数据集可从以下网址下载：http://web.mit.edu/braatzgroup/links.html。数据集共包含41个测量变量，其中22个连续测量值以3分钟为采样间隔进行采样，剩余19个成分变量则以6至15分钟不等的时滞生成。数据集内置21种已识别故障，每种故障状态下包含480个样本用作训练数据集，另有960个样本作为测试数据集；故障于运行8小时后注入，该时长对应160个采样样本。