RT info:eu-repo/semantics/report
T1 D2. 1–Report on Dynamic Data Reconciliation of Large-Scale Processes
T2 Report on Dynamic Data Reconciliation of Large-Scale Processes
A1 Pitarch Pérez, José Luis
A1 Prada Moraga, César de
A2 EU-SPIRE
K1 Dynamic data reconciliation
K1 gross errors
K1 Parameter estimation
K1 Variables estimation
AB Availability of reliable process information in real time is key in any decision-making procedure. Thus, good industrial decision-support implementations require dealing with gross errors and consideration of process transients in order to get a set of measurements which will be coherent with the basic underlying process dynamics. This report presents dynamic data reconciliation methods and tools adapted to the requirements of industrial environments (large-scale systems and noisy/faulty data). Moreover, basic concepts in literature are extended to artificially increase system redundancy as well as to cope with time-varying parameter estimation. The procedure summarized in this report has been tested in the Lenzing case study.
YR 2018
FD 2018
LK http://uvadoc.uva.es/handle/10324/33735
UL http://uvadoc.uva.es/handle/10324/33735
LA eng
NO J. L. Pitarch and C. de Prada, 2018. D2. 1-Report on dynamic data reconciliation of large-scale processes. Outcomes of the CoPro Project.
NO Producción Científica
NO Ingeniería de Sistemas y Automática
DS UVaDOC
RD 26-abr-2024