Discussing the main issues in the treatment and reconciliation of plant data, this text covers the concepts of estimability and redundancy in steady-state processes; process variable classification for linear and nonlinear plant models; the adjustment of measurements for different kinds of plant mod
Data Processing and Reconciliation for Chemical Process Operations
โ Scribed by Josรฉ A. Romagnoli and Mabel Cristina Sรกnchez (Eds.)
- Publisher
- Academic Press, Elsevier
- Year
- 1999
- Leaves
- 264
- Series
- Process Systems Engineering 2
- Category
- Library
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โฆ Table of Contents
Content:
Preface
Pages xiii-xiv
Josรฉ A. Romagnoli, Mabel Cristina Sรกnchez
Acknowledgments
Page xv
1 General introduction
Pages 1-8
2 Estimability and redundancy within the framework of the general estimation theory
Pages 9-23
3 Classification of the process variables for chemical plants
Pages 25-52
4 Decomposition using orthogonal transformations
Pages 53-73
5 Steady-state data reconciliation
Pages 75-92
6 Sequential processing of information
Pages 93-108
7 Treatment of gross errors
Pages 109-135
8 Rectification of process measurement data in dynamic situations
Pages 137-157
9 Joint parameter estimationโdata reconciliation
Pages 159-181
10 Estimation of measurement error variances from process data
Pages 183-197
11 New trends
Pages 199-225
12 Case studies
Pages 227-251
Appendix Statistical concepts
Pages 253-263
Author index
Pages 265-266
Subject index
Pages 267-270
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