Data Reconciliation and Gross Error Detection. An by Dr. Shankar Narasimhan Ph.D. (Ch.E.)

By Dr. Shankar Narasimhan Ph.D. (Ch.E.)

  • This is a wonderful e-book at the topic - the authors have coated all of the bases. if you'd like a booklet on facts reconciliation and gross errors detection, this can be as entire and thorough a e-book as i will be able to think. - Les A. Kane, Editor, complex procedure regulate and knowledge platforms

Content:
Acknowledgments

, Pages xiii-xiv
Preface

, Pages xv-xvii
1 - the significance of information Reconciliation and Gross blunders Detection

, Pages 1-31
2 - size blunders and blunder relief Techniques

, Pages 32-58
3 - Linear Steady-State information Reconciliation

, Pages 59-84
4 - Steady-State facts Reconciliation for Bilinear Systems

, Pages 85-118
5 - Nonlinear Steady-State facts Reconciliation

, Pages 119-141
6 - info Reconciliation in Dynamic Systems

, Pages 142-173
7 - creation to Gross blunders Detection

, Pages 174-225
8 - a number of Gross errors identity suggestions for Steady-State Processes

, Pages 226-280
9 - Gross errors Detection in Linear Dynamic Systems

, Pages 281-299
10 - layout of Sensor Networks

, Pages 300-326
11 - business purposes of knowledge Reconciliation and Gross blunders Detection Technologies

, Pages 327-372
Appendix A - easy strategies in Linear Algebra

, Pages 373-377
Appendix B - Graph conception Fundamentals

, Pages 378-383
Appendix C - basics of likelihood and Statistics

, Pages 384-393
Index

, Pages 394-402
Author Index

, Pages 403-405
The Authors

, Page 406

Show description

Read or Download Data Reconciliation and Gross Error Detection. An Intelligent Use of Process Data PDF

Best robotics & automation books

BUILD A REMOTECONTROLLED ROBOT DAVID R SHIRCLIFF

TAB Electronics is the most appropriate identify in novice robotics. because the 1987 unencumber of Gordon McComb's blockbuster robotic Builder's Bonanza hobbyists have appeared to TAB because the resource for state of the art, how-to robotics titles.
These groundbreaking, seriously illustrated books clarify the way to create everythinbg from easy, uncomplicated robots to ones that stroll, see, suppose, speak, pay attention and struggle! Written by means of "professors of robotics" comparable to Gordon McComb and John Iovine, they are nice for rookies in addition to skilled robotic builders.
Authoritative, leading edge, enjoyable, and constantly some distance sooner than somebody else, TAB maintains the culture with construct your individual Remote-Controlled robotic.

Moral Machines: Teaching Robots Right from Wrong

This publication combines the tips of prime commentators on ethics, equipment of imposing AI, and the hazards of AI, right into a set of rules on how machines should in attaining moral behavior.

The booklet regularly presents a correct survey of what these commentators agree and disagree approximately. yet there is adequate confrontation that we want a few insights into which perspectives are right (especially approximately theories of ethics) with a purpose to produce necessary suggestion to AI designers, and the authors wouldn't have these forms of insights.

The ebook focuses extra on close to time period dangers of software program that's less clever than people, and is complacent in regards to the hazards of superhuman AI.

The implications of superhuman AIs for theories of ethics should remove darkness from flaws in them that are not seen whilst contemplating in basic terms human-level intelligence. for instance, they point out a controversy that any AI might price people for his or her range of principles, which might support AIs to look the distance of attainable principles. This turns out to have severe difficulties, akin to what stops an AI from fidgeting with human minds to extend their range? but the authors are too curious about human-like minds to visualize an intelligence which might do that.

Their dialogue of the advocates pleasant AI turns out a piece burdened. The authors ponder whether these advocates try to quell apprehension approximately AI hazards, whilst i have saw beautiful constant efforts by way of these advocates to create apprehension between AI researchers.

Advanced Control of Piezoelectric Micro-/Nano-Positioning Systems

This publication explores rising equipment and algorithms that allow exact regulate of micro-/nano-positioning structures. The textual content describes 3 keep watch over innovations: hysteresis-model-based feedforward keep watch over and hysteresis-model-free suggestions regulate in line with and loose from kingdom statement. every one paradigm gets committed awareness inside a selected a part of the textual content.

Towards Integrating Control and Information Theories: From Information-Theoretic Measures to Control Performance Limitations

This booklet investigates the functionality quandary matters in networked suggestions platforms. the truth that networked suggestions structures encompass regulate and verbal exchange units and platforms demands the mixing of keep watch over idea and data thought. the first contributions of this e-book lie in features: the newly-proposed information-theoretic measures and the newly-discovered keep watch over functionality obstacles.

Extra info for Data Reconciliation and Gross Error Detection. An Intelligent Use of Process Data

Sample text

It is easier to implement, and, with proper tuning, enables a faster state-change detection than the CUSUM tests. For this reason, the Shewhart test is often used in association with CUSUM tests in statistical process control [ 17]. Five major signal types can be determined with their algorithm: steady-state, step change, ramp, impulse (spike), and undetermined transient state. The filter is forced to follow more closely the process dynamics in the case of a true process change and to do more filtering in the case of the random noise (steady state) or spikes.

Peck. Introduction to Linear Regression Analysis. New York: John Wiley & Sons, 1982. 17. Lucas, J. M. "Combined ShewhartmCUSUM Quality Control Schemes," Journal of Quality Technology 14 (no. 2, 1982): 51-59. 18. Rinehart, R. R. " Process Control and Quality (Amsterdam: Elsevier) (no. 2, 1992): 169-176. 19. Stanley, G. M. , Oct. 1, 1992. 3 Linear Steady-State Data Reconciliation Linear data reconciliation for steady-state systems has already been introduced in Chapter 1. The examples analyzed in Chapter 1 are instances of a linear data reconciliation problem.

L. " Chem. Eng. Progr. Symp. Ser. No. 55 61 (1965): 8-13. 23. Reilly, P. , and R. E. Carpani. "Application of Statistical Theory to Adjustment of Material Balances," presented at the 13th Can. Chem. Eng. , Montreal, Quebec, 1963. 24. Almasy, G. A, and T. Sztano. " Prob. Control Inform. Theory 4 (1975): 57-69. 25. H. Mah. " AIChE Journal 33 (1987): 1514-1521. 26. Tamhane. A. , C. H. Mah. "A Bayesian Approach to Gross Error Detection in Chemical Process Data. " Chemometrics and Intel. Lab. Sys. 4 (1988): 33.

Download PDF sample

Rated 4.92 of 5 – based on 23 votes