Accuracy of online measurement data is usually not satisfactory for coal-fired power plants
due to constraints of measurement techniques. Data reconciliation can help to improve the …

Data reconciliation has played a significant role in rectifying process data which can meet
the conservation laws in industrial processes. Generally, the actual measurements are often …

Data reconciliation is a crucial technique to improve the accuracy of the measured data in
industrial processes. However, most traditional data reconciliation researches mainly …

Concentrations measurements are typically corrupted by noise. Data reconciliation
techniques improve the accuracy of measurements by using redundancies in the material …

Wetness fraction of exhaust steam is important to the economy and safety of steam turbines.
Due to lack of commercially available measurement technologies, it is usually obtained from …

In modern industrial processes, data reconciliation plays a significant role in reducing
measurement errors and adjusting process measurements to meet conservation laws and …

With the increasing demand for energy conversation and high efficiency, data quality is of
great important to the operation management and monitoring in industrial applications. Data …

Abstract Models of chemical reaction systems can be complex as they need to include
information regarding the reactions and the mass and heat transfers. The commonly used …

The identification of kinetic models for multiphase reaction systems is complex due to the
simultaneous effect of chemical reactions and mass transfers. The extent-based incremental …

Data reconciliation is a key step of data extraction from existing plants. While there are many
publications on data reconciliation generally, for Heat Integration Analysis (HIA) they are …