BibMon: An open source Python package for process monitoring, soft sensing, and fault diagnosis

• Published in: Digital Chemical Engineering Vol. 13; p. 100182
• Main Authors: Melo, Afrânio, Lemos, Tiago S.M., Soares, Rafael M., Spina, Deris, Clavijo, Nayher, Campos, Luiz Felipe de O., Câmara, Maurício Melo, Feital, Thiago, Anzai, Thiago K., Thompson, Pedro H., Diehl, Fábio C., Pinto, José Carlos
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.12.2024; Elsevier
• Subjects: Fault detection and diagnosis; Machine learning; Open source; Process monitoring; Soft sensor; Process monitoring; Soft sensor; Open source; Fault detection and diagnosis; Machine learning

This paper introduces BibMon, a Python package that provides predictive models for data-driven fault detection and diagnosis, soft sensing, and process condition monitoring. Key features include regression and reconstruction models, preprocessing pipelines, alarms, and visualization through control...