Data-driven anomaly detection and diagnostics for changeover processes in biopharmaceutical drug product manufacturing

Author:

Zeberli Anicia,Badr SaraORCID,Siegmund Christian,Mattern Markus,Sugiyama Hirokazu

Funder

Ministry of Education, Culture, Sports, Science and Technology

F. Hoffmann-La Roche

Japan Society for the Promotion of Science

Publisher

Elsevier BV

Subject

General Chemical Engineering,General Chemistry

Reference43 articles.

1. The use of Digital Twin for predictive maintenance in manufacturing;Aivaliotis;Int. J. Comput. Integr. Manuf.,2019

2. Introduction to hotelling (1931) the generalization of student’s ratio;Anderson,1992

3. Tackling faults in the industry 4.0 era—a survey of machine-learning solutions and key aspects;Angelopoulos;Sensors,2020

4. A systematic literature review of machine learning methods applied to predictive maintenance;Carvalho;Comput. Ind. Eng.,2019

5. Uncertainty-conscious methodology for process performance assessment in biopharmaceutical drug product manufacturing;Casola;AIChE J.,2018

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