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@article{melo_bibmon_2024, | ||
title = {{BibMon}: {An} open source {Python} package for process monitoring, soft sensing, and fault diagnosis}, | ||
issn = {2772-5081}, | ||
shorttitle = {{BibMon}}, | ||
url = {https://www.sciencedirect.com/science/article/pii/S2772508124000449}, | ||
doi = {10.1016/j.dche.2024.100182}, | ||
journal = {Digital Chemical Engineering}, | ||
author = {Melo, Afrânio and Lemos, Tiago S. M. and Soares, Rafael M. and Spina, Deris and Clavijo, Nayher and Campos, Luiz Felipe de O. and Câmara, Maurício Melo and Feital, Thiago and Anzai, Thiago K. and Thompson, Pedro H. and Diehl, Fábio C. and Pinto, José Carlos}, | ||
month = sep, | ||
year = {2024}, | ||
keywords = {Fault detection and diagnosis, Machine learning, Open source, Process monitoring, Soft sensor}, | ||
pages = {100182}, | ||
} |
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Scientific article | ||
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A scientific article detailing the package structure, design philosophy and main features can be accessed in `this link <https://drive.google.com/file/d/10DoNNA8gVeu2qtfjPuAbeFnwDWy_Xkzn/view?usp=sharing>`_. | ||
A scientific article detailing the package structure, design philosophy and main features can be accessed in `this link <https://www.sciencedirect.com/science/article/pii/S2772508124000449>`_. |
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