๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Data Processing and Reconciliation for Chemical Process Operations

โœ 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

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ 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 estimationโ€”data 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


๐Ÿ“œ SIMILAR VOLUMES


Data Processing and Reconciliation for C
โœ Jose A., Romagnoli ๐Ÿ“‚ Library ๐Ÿ“… 2000 ๐Ÿ› Academic Press ๐ŸŒ English

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 C
โœ Josรฉ A. Romagnoli; Mabel Cristina Sanchez ๐Ÿ“‚ Library ๐Ÿ“… 1999 ๐ŸŒ English

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 ess

Data Processing and Reconciliation for C
โœ Josรฉ Alberto Romagnoli, Mabel Cristina Sรกnchez ๐Ÿ“‚ Library ๐Ÿ“… 2000 ๐Ÿ› Academic Press ๐ŸŒ English

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 ess

Evolution Inclusions and Variation Inequ
โœ Mikhail Z. Zgurovsky, Valery S. Mel'nik, Pavlo O. Kasyanov (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2011 ๐Ÿ› Springer-Verlag Berlin Heidelberg ๐ŸŒ English

<p>Here, the authors present modern mathematical methods to solve problems of differential-operator inclusions and evolution variation inequalities which may occur in fields such as geophysics, aerohydrodynamics, or fluid dynamics. For the first time, they describe the detailed generalization of var

Evolution Inclusions and Variation Inequ
โœ Mikhail Z. Zgurovsky, Valery S. Mel'nik, Pavlo O. Kasyanov (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2011 ๐Ÿ› Springer-Verlag Berlin Heidelberg ๐ŸŒ English

<p>Here, the authors present modern mathematical methods to solve problems of differential-operator inclusions and evolution variation inequalities which may occur in fields such as geophysics, aerohydrodynamics, or fluid dynamics. For the first time, they describe the detailed generalization of var