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Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control 1st Edition Ch. Venkateswarlu M.Tech Phd – eBook PDF

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Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control – Ebook PDF

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Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control – Ebook PDF Instant Delivery – ISBN(s): 9780323858786,0323858783

Product details:

  • ISBN-10 ‏ : ‎ 0323858783
  • ISBN-13 ‏ : ‎ 978-0323858786
  • Author: Dr. Ch. Venkateswarlu M.Tech

Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control presents various mechanistic model based state estimators and data-driven model based state estimators with a special emphasis on their development and applications to process monitoring, fault diagnosis and control. The design and analysis of different state estimators are highlighted with a number of applications and case studies concerning to various real chemical and biochemical processes. The book starts with the introduction of basic concepts, extending to classical methods and successively leading to advances in this field.

Design and implementation of various classical and advanced state estimation methods to solve a wide variety of problems makes this book immensely useful for the audience working in different disciplines in academics, research and industry in areas concerning to process monitoring, fault diagnosis, control and related disciplines.

Table contents:

Part I: Basic details and state estimation algorithms
Chapter 1. Optimal state estimation and its importance in process systems engineering
Chapter 2. Introduction to stochastic processes and state estimation filtering
Chapter 3. Linear filtering and observation techniques
Chapter 4. Mechanistic model-based nonlinear filtering and observation techniques for optimal state/parameter estimation
Chapter 5. Data-driven modeling techniques for state estimation
Chapter 6. Optimal sensor configuration methods for state estimation
Part II: Optimal state estimation for process monitoring
Chapter 7. Application of mechanistic model-based nonlinear filtering and observation techniques for optimal state estimation in multicomponent batch distillation
Chapter 8. Application of mechanistic model-based nonlinear filtering and observation techniques for optimal state estimation in multicomponent reactive batch distillation with optimal sensor configuration
Chapter 9. Application of mechanistic model-based nonlinear filtering and observation techniques for optimal state estimation in complex nonlinear dynamical systems
Chapter 10. Application of mechanistic model-based nonlinear filtering and observation techniques for optimal state estimation of a kraft pulping digester
Chapter 11. Application of mechanistic model-based nonlinear filtering and observation techniques for optimal state estimation of a continuous reactive distillation column with optimal sensor configuration

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