A Detailed Guide to the New Generation of Smart Process Plants
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
Preface
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 Value of 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
