Data Reconciliation and Gross Error Detection: An Intelligent Use of Process Data [Hardcover]

Dr. Shankar Narasimhan Ph.D. (Ch.E.) (Author), Dr. Cornelius Jordache Ph.D. (Ch.E) (Author)

Book Description

Publication Date: December 13, 1999 | ISBN-10: 0884152553 | ISBN-13: 978-0884152552 | Edition: 1

This book provides a systematic and comprehensive treatment of the variety of methods available for applying data reconciliation techniques. Data filtering, data compression and the impact of measurement selection on data reconciliation are also exhaustively explained.


Data errors can cause big problems in any process plant or refinery. Process measurements can be correupted by power supply flucutations, network transmission and signla conversion noise, analog input filtering, changes in ambient conditions, instrument malfunctioning, miscalibration, and the wear and corrosion of sensors, among other factors. Here's a book that helps you detect, analyze, solve, and avoid the data acquisition problems that can rob plants of peak performance. This indispensable volume provides crucial insights into data reconciliation and gorss error detection techniques that are essential fro optimal process control and information systems.

This book is an invaluable tool for engineers and managers faced with the selection and implementation of data reconciliation software, or for those developing such software. For industrial personnel and students, Data Reconciliation and Gross Error Detection is the ultimate reference.

Editorial Reviews

Review

This is an excellent book on the subject - the authors have covered all the bases. If you want a book on data reconciliation and gross error detection, this is as complete and thorough a book as I can imagine. - Les A. Kane, Editor, Advanced Process Control and Information Systems

Product Details

• Hardcover: 350 pages
• Publisher: Gulf Professional Publishing; 1 edition (December 13, 1999)
• Language: English
• ISBN-10: 0884152553
• ISBN-13: 978-0884152552
• Product Dimensions: 9 x 6.2 x 1.3 inches
• Shipping Weight: 1.6 pounds (View shipping rates and policies)
• Average Customer Review: 4.5 out of 5 stars  See all reviews (2 customer reviews)
• Amazon Best Sellers Rank: #2,515,054 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

4.0 out of 5 stars Comprehensive, March 9, 2009

By 

Engineer (Canada) - See all my reviews

This review is from: Data Reconciliation and Gross Error Detection: An Intelligent Use of Process Data (Hardcover)

The field of Data Reconciliation have been around since the 1960's. This book is a comprehensive overview of all the relevant material since that period.

I bought this book as a reference for work on an M.Eng in the field. It only recieves 4 stars, since the style is sometimes 'wordy', and you have to concentrate to get the point. However, there are very few if any errors, the treatment is thorough and comprehensive, and the references are exhaustive if you are interested in further reading. Value for money.

There are not many books in this area, but if you are wondering if you should purchase this one or the work by Romagnoli and Sanchez, buy both! There is obviously some duplication of material, but both books contain information or discussions not treated in the other, and so compliment each other rather well. I found it handy to have both open at the same time.

1 of 3 people found the following review helpful:

5.0 out of 5 stars Excellent, April 27, 2002

By 

Tanmay Basak (Texas, TX, USA) - See all my reviews

This review is from: Data Reconciliation and Gross Error Detection: An Intelligent Use of Process Data (Hardcover)

Excellent: Chemical Engineering field consisting of uncertainity of data based on experiments or control measurements does require a brodar perspective of data analysis and features and this book fulfills the needs. I strongly believe that this book definitely adds a new paradigm in the next decades of Chemical Engg.