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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 single source providing a unified approach to the area with instructions on implementation. Data Processing and Reconciliation for Chemical Process Operations is that source. Competitiveness on the world market as well as increasingly stringent environmental and product safety regulations have increased the need for the chemical industry to introduce such fast and low cost improvements in process operations.
Key Features
* Introduces the first unified approach to this important field
* Bridges theory and practice through numerous worked examples and industrial case studies
* Provides a highly readable account of all aspects of data classification and reconciliation
* Presents the reader with material, problems, and directions for further study
This is a digital product.
Data Processing and Reconciliation for Chemical Process Operations is written by Romagnoli, José A.; Sanchez, Mabel Cristina and published by Academic Press. The Digital and eTextbook ISBNs for Data Processing and Reconciliation for Chemical Process Operations are 9780125944601, 9780080530277, 0080530273 and the print ISBNs are 9780125944601, 0125944608.

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