A novel robust data reconciliation method for industrial processes

Data Mining and Analytics in the Process Industry: The Role of Machine Learning

Zhiqiang Ge, Zhihuan Song, Steven X. Ding et al. · IEEE Access · 2017 · 895 citations · Full text

Computing, Computer Science, Data Science +11

Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE

Xiaofeng Yuan, Biao Huang, Yalin Wang et al. · IEEE Transactions on Industrial Informatics · 2018 · 622 citations

Computing, Computer Science, Industrial Engineering +17

Data-based process monitoring, process control, and quality improvement: Recent developments and applications in steel industry

Manabu Kano, Yoshiaki Nakagawa · Computers & Chemical Engineering · 2007 · 506 citations · Full text

Engineering, Manufacturing Engineering, Systems Engineering +17

Reconcillation and Rectification of Process Flow and Inventory Data

Richard S. H. Mah, G.M. Stanley, Dennis M. Downing · Industrial & Engineering Chemistry Process Design and Development · 1976 · 223 citations

Engineering, Chemical Engineering, Chemistry +7

Theory and practice of simultaneous data reconciliation and gross error detection for chemical processes

Derya B. Özyurt, Ralph W. Pike · Computers & Chemical Engineering · 2003 · 211 citations

Engineering, Chemical Engineering, Chemistry +12