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Computer techniques have made online measurements available at every sampling period in a chemical process. However, measurement errors are introduced that require suitable techniques for data reconciliation and improvements in accuracy. Reconciliation of process data and reliable monitoring are essential to decisions about possible system modifications (optimization and control procedures), analysis of equipment performance, design of the monitoring system itself, and general management planning. While the reconciliation of the process data has been studied for more than 20 years, there is no
Chemical process control --- Automatic data collection systems. --- Error analysis (Mathematics) --- Automation. --- Errors, Theory of --- Data collection systems, Automatic --- Factory data acquisition systems, Automatic --- Factory monitoring systems, Automatic --- In-plant data collection systems, Automatic --- Instrumental variables (Statistics) --- Mathematical statistics --- Numerical analysis --- Statistics --- Automation --- Communication in management --- Data transmission systems --- Data processing --- Data processing. --- Computerized process control
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