Geert Gins

According to our database, Geert Gins authored at least 12 papers between 2006 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2018

Advance warning for loss of separation in an industrial distillation column.

Jan F. M. Van Impe, Klaas Augustinus, Michiel De Prins, Geert Gins

Qual. Reliab. Eng. Int., 2018

2016

Editorial.

Geert Gins

Trans. Mach. Learn. Data Min., 2016

Extending Process Monitoring to Simultaneous False Alarm Rejection and Fault Identification (FARFI).

Geert Gins, Sam Wuyts, Sander Van den Zegel, Jan F. M. Van Impe

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2016

2014

The RAYMOND simulation package - Generating RAYpresentative MONitoring Data to design advanced process monitoring and control algorithms.

Geert Gins, Jef Vanlaer, Pieter Van den Kerkhof, Jan F. M. Van Impe

Comput. Chem. Eng., 2014

2013

Quality assessment of a variance estimator for Partial Least Squares prediction of batch-end quality.

Jef Vanlaer, Geert Gins, Jan F. M. Van Impe

Comput. Chem. Eng., 2013

Extending Statistical Models for Batch-End Quality Prediction to Batch Control.

Geert Gins, Jef Vanlaer, Pieter Van den Kerkhof, Jan F. M. Van Impe

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2013

Contribution plots for Statistical Process Control: Analysis of the smearing-out effect.

Pieter Van den Kerkhof, Jef Vanlaer, Geert Gins, Jan F. M. Van Impe

Proceedings of the 12th European Control Conference, 2013

2012

Dynamic model-based fault diagnosis for (bio)chemical batch processes.

Pieter Van den Kerkhof, Geert Gins, Jef Vanlaer, Jan F. M. Van Impe

Comput. Chem. Eng., 2012

The Influence of Input and Output Measurement Noise on Batch-End Quality Prediction with Partial Least Squares.

Jef Vanlaer, Pieter Van den Kerkhof, Geert Gins, Jan F. M. Van Impe

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2012

2011

Prediction of Batch-End Quality for an Industrial Polymerization Process.

Geert Gins, Bert Pluymers, Ilse Y. Smets, Jairo Jose Espinosa, Jan F. M. Van Impe

Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2011

2008

Efficient Tracking of the Dominant Eigenspace of a Normalized Kernel Matrix.

Geert Gins, Ilse Y. Smets, Jan F. M. Van Impe

Neural Comput., 2008

2006

Data Alignment Via Dynamic Time Warping as a Prerequisite for Batch-End Quality Prediction.

Geert Gins, Jairo Jose Espinosa, Ilse Y. Smets, Wim Van Brempt, Jan F. M. Van Impe

Proceedings of the Advances in Data Mining, 2006