Process Control Performance Assessment is a practical guide to the application of control benchmarking to real, complex, industrial processes. It presents commercial solutions as well as current and future techniques still under development and contains real full-scale-implementation industrial case studies from the oil and gas, power and chemical industries providing a hierarchical perspective on benchmarks. The effect of benchmarking and control tuning on process performance and revenue optimisation is demonstrated.
The most frequently occurring practical issues associated with implementing benchmarking algorithms in industrial processes are discussed in detailed and concise terms and guidelines given for avoiding common problems. The impact of problems like valve stiction and plant-wide disturbances on process performance is reviewed and methods for diagnosing causative fault conditions suggested.
The benefit of non-intrusive and intrusive benchmarking techniques for optimising control systems using performance assessment and diagnostic tools is the potential to enhance company operational economics through increased throughput and better product quality. The book is appropriate for industrial and academic control and process engineers who wish to learn about methods of benchmarking through directed study or self study.
Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
The most frequently occurring practical issues associated with implementing benchmarking algorithms in industrial processes are discussed in detailed and concise terms and guidelines given for avoiding common problems. The impact of problems like valve stiction and plant-wide disturbances on process performance is reviewed and methods for diagnosing causative fault conditions suggested.
The benefit of non-intrusive and intrusive benchmarking techniques for optimising control systems using performance assessment and diagnostic tools is the potential to enhance company operational economics through increased throughput and better product quality. The book is appropriate for industrial and academic control and process engineers who wish to learn about methods of benchmarking through directed study or self study.
Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
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From the reviews:
Overall the book is well written. An excellent feature is that detailed step-by-step procedures are given, which can be a good user's guide. Extensive simulation and industrial examples are cited to illustrate the algorithms. This book provides a good balance between academic and engineering aspects. Academic researchers, graduate students and industrial practitioners, who are interested in the general areas of control performance monitoring, business performance benchmarking, control system or instrument problem diagnosis, will find this book a useful reference.
IEEE Transactions on Automatic Control (2008) (Reviewers: Biao Huang and Fei Qi)
"Part of Springer's Advances in Industrial Control series, Process Control Performance Assessment meets the objective of unifying past work in the title area. ... Overall the book accomplishes its ostensible purpose. ... the current piece is a nice addition to the process control library. Any interested academic researchers from this area should strongly consider purchasing it." (J. Douglas Barrett, Technometrics, Vol. 50 (1), 2008)
Overall the book is well written. An excellent feature is that detailed step-by-step procedures are given, which can be a good user's guide. Extensive simulation and industrial examples are cited to illustrate the algorithms. This book provides a good balance between academic and engineering aspects. Academic researchers, graduate students and industrial practitioners, who are interested in the general areas of control performance monitoring, business performance benchmarking, control system or instrument problem diagnosis, will find this book a useful reference.
IEEE Transactions on Automatic Control (2008) (Reviewers: Biao Huang and Fei Qi)
"Part of Springer's Advances in Industrial Control series, Process Control Performance Assessment meets the objective of unifying past work in the title area. ... Overall the book accomplishes its ostensible purpose. ... the current piece is a nice addition to the process control library. Any interested academic researchers from this area should strongly consider purchasing it." (J. Douglas Barrett, Technometrics, Vol. 50 (1), 2008)