| 1 |
Multiple Sensor Validation for Natural Gas Combined Cycle Power Plants Based on Robust Input Training Neural Networks
Ren SJ, Si FQ, Gu H
Journal of Chemical Engineering of Japan, 50(3), 186, 2017 |
| 2 |
Automated quantitative model-based fault diagnosistic protocol via Assumption State Differences
Fickelscherer RJ, Chester DL
Computers & Chemical Engineering, 90, 94, 2016 |
| 3 |
Gas turbine sensor validation through classification with artificial neural networks
Palme T, Fast M, Thern M
Applied Energy, 88(11), 3898, 2011 |
| 4 |
A comparative study of NN- and EKF-based SFDA schemes with application to a nonlinear UAV model
Samy I, Postlethwaite I, Gu DW
International Journal of Control, 83(5), 1025, 2010 |
| 5 |
Measurement bias detection in linear dynamic systems
Rollins DK, Devanathan S, Bascunana MVB
Computers & Chemical Engineering, 26(9), 1201, 2002 |
| 6 |
Multivariate process monitoring and fault diagnosis by multi-scale PCA
Misra M, Yue HH, Qin SJ, Ling C
Computers & Chemical Engineering, 26(9), 1281, 2002 |
