Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control
Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control
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Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control is a comprehensive book that covers mechanistic and data-driven model-based state estimators with applications in process monitoring, fault diagnosis, and control. It discusses the design and analysis of different state estimators, with examples from real chemical and biochemical processes.
Format: Paperback / softback
Length: 366 pages
Publication date: 04 February 2022
Publisher: Elsevier - Health Sciences Division
Optimal State Estimation for Process Monitoring, Fault Diagnosis, and Control is a comprehensive guide that delves into the development and applications of mechanistic model-based and data-driven state estimators. It provides a detailed exploration of these estimators, emphasizing their theoretical foundations, algorithms, and practical implementations. The book offers a rich array of applications and case studies spanning various real chemical and biochemical processes, showcasing the practical significance of state estimation in process monitoring, fault diagnosis, and control.
The book begins by introducing fundamental concepts and progressing to classical methods, ultimately leading to advancements in this field. It encompasses a wide range of state estimation techniques, including extended Kalman filters, unscented Kalman filters, particle filters, and hidden Markov models. Each method is carefully designed and implemented to address specific challenges and solve a diverse array of problems.
By presenting these methods in a clear and concise manner, the book caters to a diverse audience, including scholars, researchers, and practitioners from various disciplines in academia, research, and industry. Its applications span process monitoring, fault diagnosis, control, and related fields, making it an invaluable resource for professionals seeking to enhance their understanding and expertise in these areas.
In conclusion, Optimal State Estimation for Process Monitoring, Fault Diagnosis, and Control is a must-read for anyone interested in advancing their knowledge and skills in process monitoring, fault diagnosis, and control. Its comprehensive coverage, practical applications, and theoretical foundations make it an invaluable resource for professionals and scholars alike.
Weight: 1074g
Dimension: 216 x 275 x 24 (mm)
ISBN-13: 9780323858786
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