Chemical Process Performance Evaluation
Published on 11. January 2007
344 pages
978-1-4200-2010-6 (ISBN)
Description
The latest advances in process monitoring, data analysis, and control systems are increasingly useful for maintaining the safety, flexibility, and environmental compliance of industrial manufacturing operations.
Focusing on continuous, multivariate processes, Chemical Process Performance Evaluation introduces statistical methods and modeling te
Focusing on continuous, multivariate processes, Chemical Process Performance Evaluation introduces statistical methods and modeling te
Reviews / Votes
"Most texts that attempt to combine SPC or SPM (statistical process monitoring) with automated control methods fail to incorporate multivariate methods as well. This text does an excellent job of covering all the bases in that regard . . . I highly recommend this text for chemical engineers and statisticians interested in learning how statistical methods can be integrated with process control methods."- Dean V. Neubauer, Corning Inc., in Technometrics, February 2008, Vol. 50, No. 1
More details
Series
Language
English
Place of publication
Baton Rouge
United States
Publishing group
Taylor & Francis Inc
Target group
Professional and scholarly
Graduate students, advanced undergraduates, and industrial practitioners in process monitoring.
Illustrations
128 s/w Abbildungen, 15 s/w Tabellen
128 b/w images, 15 tables and 350 equations
File size
10,80 MB
ISBN-13
978-1-4200-2010-6 (9781420020106)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Ali Cinar | Ahmet Palazoglu | Ferhan Kayihan
Chemical Process Performance Evaluation
Book
01/2007
1st Edition
CRC Press
€272.36
Shipment within 15-20 days
Persons
Ahmet Palazoglu, Ali Cinar, Ferhan Kayihan
Content
Introduction. Univariate SPM. Statistical Methods for Performance Evaluation. Empirical Model Development. SPM of Continuous Processes. Modelling of Process Signals. Process Fault Diagnosis. Sensor Failure Detection and Diagnosis (FDD). Controller Performance Assessment. Web and Sheet Processes.
