Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems

✍ Scribed by Steven X. Ding (auth.)

Publisher: Springer-Verlag London
Year: 2014
Tongue: English
Leaves: 306
Series: Advances in Industrial Control
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems presents basic statistical process monitoring, fault diagnosis, and control methods and introduces advanced data-driven schemes for the design of fault diagnosis and fault-tolerant control systems catering to the needs of dynamic industrial processes. With ever increasing demands for reliability, availability and safety in technical processes and assets, process monitoring and fault-tolerance have become important issues surrounding the design of automatic control systems. This text shows the reader how, thanks to the rapid development of information technology, key techniques of data-driven and statistical process monitoring and control can now become widely used in industrial practice to address these issues. To allow for self-contained study and facilitate implementation in real applications, important mathematical and control theoretical knowledge and tools are included in this book. Major schemes are presented in algorithm form and demonstrated on industrial case systems. Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems will be of interest to process and control engineers, engineering students and researchers with a control engineering background.

✦ Table of Contents

Front Matter....Pages i-xx
Front Matter....Pages 1-1
Introduction....Pages 3-10
Case Study and Application Examples....Pages 11-21
Basic Statistical Fault Detection Problems....Pages 23-47
Fault Detection in Processes with Deterministic Disturbances....Pages 49-70
Front Matter....Pages 71-71
Application of Principal Component Analysis to Fault Diagnosis....Pages 73-94
Application of Partial Least Squares Regression to Fault Diagnosis....Pages 95-116
Canonical Variate Analysis Based Process Monitoring and Fault Diagnosis....Pages 117-131
Front Matter....Pages 133-133
Introduction, Preliminaries and I/O Data Set Models....Pages 135-152
Data-Driven Diagnosis Schemes....Pages 153-173
Data-Driven Design of Observer-Based Fault Diagnosis Systems....Pages 175-200
Front Matter....Pages 201-201
Adaptive Fault Diagnosis Schemes....Pages 203-222
Iterative Optimization of Process Monitoring and Fault Detection Systems....Pages 223-243
Front Matter....Pages 245-245
Fault-Tolerant Control Architecture and Design Issues....Pages 247-262
Data-Driven Design of Observer-Based Control Systems....Pages 263-279
Realization of Lifetime Management of Automatic Control Systems....Pages 281-297
Back Matter....Pages 299-300

✦ Subjects

Engineering Design; Control

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