Integration of process knowledge and statistical learning for the Dow data challenge problem. - Si-Zhao Joe Qin; Siyi Guo; Zheyu Li; Leo H. Chiang; Ivan Castillo; Birgit Braun; Zhenyu Wang (Comput. Chem. Eng., 2021)

Trend-Based Repair Quality Assessment for Industrial Rotating Equipment. - Maxwell Toothman; Birgit Braun; Scott J. Bury; Michael Dessauer; Kaytlin Henderson; Ray Wright; Dawn M. Tilbury; James R. Moyne; Kira Barton (IEEE Control. Syst. Lett., 2021)

Continuous assessment of data sources quality for improving the resilience of multisource fusion platforms. - Eugeniu Strelet; Zhenyu Wang; You Peng; Ivan Castillo; Ricardo R. Rendall; Birgit Braun; Leo H. Chiang; Marco S. Reis (ACC, 2022)

Contamination classification for pellet quality inspection using deep learning. - You Peng; Birgit Braun; Casey McAlpin; Michael Broadway; Brenda Colegrove; Leo H. Chiang (Comput. Chem. Eng., 2022)

An Adaptive, State-Based Framework for Fault Prediction in Rotating Equipment. - Maxwell Toothman; Birgit Braun; Scott J. Bury; James R. Moyne; Dawn M. Tilbury; Kira Barton (CASE, 2023)

Overcoming Challenges Associated with Developing Industrial Prognostics and Health Management Solutions. - Maxwell Toothman; Birgit Braun; Scott J. Bury; James R. Moyne; Dawn M. Tilbury; Yixin Ye; Kira Barton (Sensors, 2023)

A digital twin framework for prognostics and health management. - Maxwell Toothman; Birgit Braun; Scott J. Bury; James R. Moyne; Dawn M. Tilbury; Yixin Ye; Kira Barton (Comput. Ind., 2023)