Nonlinear data reconciliation with gross error detection and identification for steady-state and dynamic processes
Sensor measurements in a process network inherently contain random noise and/or gross errors. Thus, operational plant data should be pre-conditioned for process control, monitoring, and optimization. This work developed a strategy for nonlinear steady-state and nonlinear dynamic data reconciliation...
| מחבר ראשי: | |
|---|---|
| מחברים אחרים: | |
| פורמט: | Thesis |
| שפה: | English |
| יצא לאור: |
Quezon City
College of Engineering, University of the Philippines Diliman
2015.
|
| נושאים: | |
| גישה מקוונת: | Abstract |