Overview
- Analyses three important causes of performance deterioration common in process control and is of significant practical value in process plant troubleshooting
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Industrial Control (AIC)
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Table of contents (19 chapters)
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Front Matter
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Introduction
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Front Matter
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Higher-Order Statistics
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Front Matter
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Data Quality – Compression and Quantization
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Front Matter
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Control Valve Stiction~– Definition, Modelling, Detection and Quantification
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Front Matter
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Keywords
About this book
Reviews
From the reviews:
“This monograph is aimed at researchers and practicing engineers interested in the diagnosis of closed-loop system performance. The goal is to present techniques for monitoring the performance of continuous processes in the chemical industry using process data. The material consolidates in one place some recent results concerned with the detection, diagnosis, and quantification of process nonlinearities.” (IEEE Control Systems Magazine, Vol. 29, October, 2009)
Authors and Affiliations
About the authors
M. A. A. Shoukat Choudhury received his B. Sc. Engineering (Chemical) from Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh in 1996. He was awarded a gold medal for his outstanding results in B. Sc. Engineering. He obtained an M. Sc. Engineering (Chemical) in 1998 from the same university. He has completed his PhD degree in process control (Chemical Engineering) at the University of Alberta, Canada. For his outstanding research performance during the course of PhD program he has been awarded several awards such as University of Alberta PhD Dissertation Fellowship, Andrew Stewart Memorial Prize and ISA Educational Foundation Scholarship. He is the principal inventor of an internation patent (applied, 2005) on "Methods for Detection and Quantification of Control Valve Stiction". The methodologies and algorithms described in this patent are implemented and available in the commercial software ProcessDoctor from Matrikon Inc. His main research interests include diagnosis of poor control performance, stiction in control valves, data compression, control loop performance assessment and monitoring, and diagnosis of plant wide oscillations.
Sirish Shah received his B.Sc. degree in control engineering from Leeds University in 1971, a M.Sc. degree in automatic control from UMIST, Manchester in 1972, and a Ph.D. degree in process control (chemical engineering) from the University of Alberta in 1976. During 1977 he worked as a computer applications engineer at Esso Chemicals in Sarnia, Ontario. Since 1978 he has been with the University of Alberta, where currently holds the NSERC-Matrikon-ASRA Senior Industrial Research Chair in Computer Process Control. In 1989, he was the recipient of the Albright & Wilson Americas Award of the Canadian Society for Chemical Engineering in recognition of distinguished contributions to chemical engineering. He has held visiting appointments at Oxford University and Balliol College as a SERC fellowin 1985-86 and at Kumamoto University, Japan as a senior research fellow of the Japan Society for the Promotion of Science (JSPS) in 1994. The main area of his current research is process and performance monitoring, system identification and design and implementation of softsensors. He has recently co-authored a book titled, Performance Assessment of Control Loops: Theory and Applications. He has held consulting appointments with a wide variety of process Industries and has also taught many industrial courses.
Bibliographic Information
Book Title: Diagnosis of Process Nonlinearities and Valve Stiction
Book Subtitle: Data Driven Approaches
Authors: Shoukat M. A. A. Choudhury, Sirish L. Shah, Nina F. Thornhill
Series Title: Advances in Industrial Control
DOI: https://doi.org/10.1007/978-3-540-79224-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-79223-9Published: 11 September 2008
Softcover ISBN: 978-3-642-09810-9Published: 25 November 2010
eBook ISBN: 978-3-540-79224-6Published: 20 August 2008
Series ISSN: 1430-9491
Series E-ISSN: 2193-1577
Edition Number: 1
Number of Pages: XX, 286
Number of Illustrations: 198 b/w illustrations, 115 illustrations in colour
Topics: Control and Systems Theory, Quality Control, Reliability, Safety and Risk