Add support for more datasets

[afraniomelo]

How we are today

Currently, BibMon includes two datasets packaged with it: the Tennessee Eastman Process dataset and an anonymized dataset containing real process data. These datasets can be easily imported from within the package.

Proposed enhancement

We propose expanding BibMon's applicability by testing it with additional process datasets. Below are some suggestions:

• 3W Dataset
• NASA's Prognostics Center of Excellence (PCoE) Datasets
• Awesome Public Industrial Datasets by MakinaRocks
• The Arc Loss Challenge
• VSB Power Line Fault Detection Challenge
• PRONTO heterogeneous benchmark
• Cranfield Multiphase Flow Facility
• IndPenSim
• DAMADICS

For more details on some of these datasets, please refer to the article: https://doi.org/10.1016/j.compchemeng.2022.107964.

Do you know of other datasets where BibMon could be applied? Please share them with us here!!

Implementation

A potential enhancement is to facilitate the integration of these new datasets for BibMon users. This can be achieved by either packaging the datasets within the distribution (if their size permits) or by providing mechanisms for users to download them while utilizing the library.

By incorporating these additional datasets, we aim to broaden BibMon's testing scope and improve its robustness across various industrial applications.