| Batch process improvement using latent variable methods |
García-Muñoz |
2004 |
|
| Industrial batch data analysis using latent variable methods |
Rodrigues |
2006 |
|
| Model predictive monitoring for batch processes |
García-Muñoz, Kourti and MacGregor |
2004 |
|
| Performance assessment and improvement of control charts for statistical batch process monitoring |
Ramaker, Van Sprang, Westerhuis, Gurden, Smilde and Van Der Meulen |
2006 |
|
| Improved process understanding using multiway principal component analysis |
Kosanovich, Dahl and Piovoso |
1996 |
|
| Comparing alternative approaches for multivariate statistical analysis of batch process data |
Westerhuis, Kourti and MacGregor |
1999 |
|
| Multivariate monitoring of batch processes using batch-to-batch information |
Flores-Cerrillo and MacGregor |
2004 |
|
| Process analysis, monitoring and diagnosis, using multivariate projection methods |
Kourti and MacGregor |
1995 |
|
| Analysis, monitoring and fault diagnosis of batch processes using multiblock and multiway PLS |
Kourti, Nomikos and MacGregor |
1995 |
|
| Troubleshooting of an industrial batch process using multivariate methods |
García-Muñoz, Kourti, MacGregor, Mateos and Murphy |
2003 |
|
| Multi-way partial least squares in monitoring batch processes |
Nomikos and MacGregor |
1995 |
|
| Batch process modeling and MSPC |
Wold, Kettaneh-Wold, MacGregor and Dunn |
2009 |
|
| Multivariate SPC charts for monitoring batch processes |
Nomikos and MacGregor |
1995 |
|
| Real-time synchronization of batch trajectories for on-line multivariate statistical process control using Dynamic Time Warping |
González-Martínez, Ferrer and Westerhuis |
2011 |
|
| Using on-line process data to improve quality: challenges for statisticians |
MacGregor |
1997 |
|
| Detection and diagnosis of abnormal batch operations based on multi-way principal component analysis |
Nomikos |
1996 |
|
| Monitoring batch processes using multiway principal component analysis |
Nomikos and MacGregor |
1994 |
|
| Data-based latent variable methods for process analysis, monitoring and control |
MacGregor, Yu, García-Muñoz and Flores-Cerrillo |
2005 |
|
| Data-driven soft sensors in the process industry |
Kadlec, Gabrys and Strandt |
2009 |
|
| Quality control for batch processes using multivariate latent variable methods |
Flores-Cerrillo |
2003 |
|
| The treatment of missing measurements in PCA and PLS models |
Nelson |
2002 |
|
| Multivariate analysis and optimization of process variable trajectories for batch processes |
Duchesne and MacGregor |
2000 |
|
| Review of adaptation mechanisms for data-driven soft sensors |
Kadlec, Grbić and Gabrys |
2011 |
|
| On unifying multiblock analysis with application to decentralized process monitoring |
Qin, Valle and Piovoso |
2001 |
|
| Missing data methods in PCA and PLS: score calculations with incomplete observations |
Nelson, Taylor and MacGregor |
1996 |
|