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February 2010

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Subject:
From:
Miguel Bagajewicz <[log in to unmask]>
Reply To:
Miguel Bagajewicz <[log in to unmask]>
Date:
Thu, 18 Feb 2010 00:52:40 -0500
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I am please to announce the publication of my new book: 

Bagajewicz M. SMART PROCESS PLANTS: Software and Hardware for Accurate 
Data and Profitable Operations.  (ISBN:978-0-07-160471)  McGraw Hill 
(2010).

The book has two superb chapters contributed by Don Chmielewski on the 
control perspective and three chapters co-authored by my former graduate 
student DuyQuang Nguyen. 

Chapters: 
1.	Smart Plants
2.	Measurement Errors.
3.	Variable Classification. 
4.	Linear Data Reconciliation. 
5.	Gross Error Detection.
6.	Equivalencies of Gross Errors.
7.	Gross Error Size Estimation 
8.	Nonlinear Data reconciliation
9.	Dynamic Data Reconciliation
10.	Accuracy
11.	Value of Accuracy
12.	Practical Issues in the implementation of data reconciliation. 
13.	Value of Control 
14.	Value of Fault detection
15.	Instrumentation Design and Upgrade
16.	Value of Instrumentation Upgrade-Control Perspective
17.	Maintenance 
18.	Maintenance Optimization
19.	Instrument Maintenance

I reproduce the backcover summary: 

Smart plants have been defined as plants that anticipate to problems and  
disturbances and make corrective actions before these problems manifest. 
In addition, they are integrated with higher level decisions of the 
enterprise. Smart plants also need to operate in a profitable manner. That 
is, all departures from the desired operations need to be minimized. 
Thus, smart plants need good information for process monitoring, 
production accounting, product quality assurance, fault detection and 
identification, fault prevention and control. It is therefore 
straightforward to think that the information that one obtains from 
measurements in a plant needs to be accurate (precise and bias-free). 
In this book, detailed analysis of recent developments in data 
reconciliation, bias/gross error detection, as well as connection between 
accuracy  and profit are presented. In addition, the detection of 
structural and parametric faults is presented.  Modern techniques to 
organize maintenance are included. At the same time the design of control 
systems to achieve minimum variance and on-line optimization are 
presented. 
Finally, because all smart plants need to be better instrumented than 
current ones, techniques to upgrade the sensor network by addition and 
eventual relocation of instruments are covered. These techniques are based 
on the concept of economic value added.   
The book is written for practitioners that want to learn about all these 
new developments and techniques. Emphasis is put in including example and 
illustrations that are worked in a very detailed manner to facilitate 
understanding. 

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