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Smart Process Plants: Software and Hardware Solutions for Accurate Data and Profitable Operations

ISBN10: 0071604715 | ISBN13: 9780071604710

Smart Process Plants: Software and Hardware Solutions for Accurate Data and Profitable Operations
ISBN10: 0071604715
ISBN13: 9780071604710
By Miguel Bagajewicz

Step 1 . Download Adobe Digital Editions to your PC or Mac desktop/laptop.

Step 2. Register and authorize your Adobe ID (optional). To access your eBook on multiple devices, first create an Adobe ID at account.adobe.com. Then, open Adobe Digital Editions, go to the Help menu, and select "Authorize Computer" to link your Adobe ID.

Step 3. Open Your eBook. Use Adobe Digital Editions to open the file. If the eBook doesn’t open, contact customer service for assistance.

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. A Detailed Guide to the New Generation of Smart Process Plants Maximize plant profitability by minimizing operating costs. Smart Process Plants addresses measurements and the data they generate, error-free process variable estimation, control, fault detection, instrumentation upgrade, and maintenance optimization, and then connects these activities to plant economics. Methods for calculating the value of the information produced are included. The book discusses optimal instrumentation type, quality, precision, and location along with preventive maintenance techniques. Practical examples throughout the book demonstrate how to perform essential calculations. Smart Process Plants covers: Measurement instrument performance and measurement errors Variable classification and canonical representation Linear, nonlinear, and dynamic data reconciliation Gross error detection, equivalency, size elimination, and estimation Accuracy of estimators Value of accuracy, control strategies, parametric fault identification, and instrumentation upgrade Maintenance optimization

Chapter 1. Smart Plants;Chapter 2. Measurement Errors;Chapter 3. Variable Classification;Chapter 4. Material Balance Data Reconciliation;Chapter 5. Gross Error Detection;Chapter 6. Equivalency of Gross Errors;Chapter 7. Gross Error Size Elimination and Estimation;Chapter 8. Nonlinear Data Reconciliation;Chapter 9. Dynamic Data Reconciliation;Chapter 10. Accuracy of Estimators;Chapter 11. Ecomimic VEconomic Accuracy;Chapter 12. Data Reconciliation Practical Issues;Chapter 13. Value of Control Strategies;Chapter 14. Value of Parametric Fault Identification;Chapter 15. Value of Instrumentation Upgrade--Monitoring and Faults Perspectives;Chapter 16. Value of Instrumentation Upgrade--Control Perspective;Chapter 17. Structural Faults and Value of Maintenance; Chapter 18. Maintenance Optimization;Chapter 19. Value and Optimization of Instrument Maintenance;Index

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