화학공학소재연구정보센터
검색결과 : 5건
No. Article
1 Integrated Data-Driven Process Monitoring and Explicit Fault-Tolerant Multiparametric Control
Onel M, Burnak B, Pistikopoulos EN
Industrial & Engineering Chemistry Research, 59(6), 2291, 2020
2 Data-Driven Prescriptive Maintenance: Failure Prediction Using Ensemble Support Vector Classification for Optimal Process and Maintenance Scheduling
Gordon CAK, Burnak B, Onel M, Pistikopoulos EN
Industrial & Engineering Chemistry Research, 59(44), 19607, 2020
3 A nonlinear support vector machine-based feature selection approach for fault detection and diagnosis: Application to the Tennessee Eastman process
Onel M, Kieslich CA, Pistikopoulos EN
AIChE Journal, 65(3), 992, 2019
4 Big data approach to batch process monitoring: Simultaneous fault detection and diagnosis using nonlinear support vector machine-based feature selection
Onel M, Kieslich CA, Guzman YA, Floudas CA, Pistikopoulos EN
Computers & Chemical Engineering, 115, 46, 2018
5 Big data approach to batch process monitoring: Simultaneous fault detection and diagnosis using nonlinear support vector machine-based feature selection(Reprinted from Computers and Chemical Engineering, vol 115, pg 46-63, 2018)
Onel M, Kieslich CA, Guzman YA, Floudas CA, Pistikopoulos EN
Computers & Chemical Engineering, 116, 503, 2018