Data reconciliation & gross error detection an intelligent use of process Data (Record no. 415)

MARC details
000 -LEADER
fixed length control field 01963nam a2200217Ia 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250429104902.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230228s1999||||xx |||||||||||||| ||eng||
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780884152552
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 660.2815 S43
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Narasimhan, Shankar
Relator term Author
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Jordache, Cornelius
Relator term Co-Author
245 #0 - TITLE STATEMENT
Title Data reconciliation & gross error detection an intelligent use of process Data
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Houston:
Name of publisher Gulf Professional Publishing,
Year of publication 1999.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 406p.; 23cms.
500 ## - GENERAL NOTE
General note 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 corrupted by power supply fluctuations, network transmission and signal 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 gross error detection techniques that are essential for 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.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Measurement Errors and Error Reduction Techniques
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Introduction to Gross Error Detection
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Linear Steady-State Data Reconciliation
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Shelving location Full call number Accession Number Koha item type
        Dr. S. R. Ranganathan Library Dr. S. R. Ranganathan Library General Stacks 660.2815 S43 2481 Books

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