Solving fault diagnosis problems : linear synthesis techniques
This book addresses fault detection and isolation topics from a computational perspective. Unlike most existing literature, it bridges the gap between the existing well-developed theoretical results and the realm of reliable computational synthesis procedures. The model-based approach to fault detec...
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| Main Author | |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Cham :
Springer,
2017.
|
| Series | Studies in systems, decision and control ;
v. 84. |
| Subjects | |
| Online Access | Full text |
| ISBN | 9783319515595 9783319515588 |
| Physical Description | 1 online resource (411 pages) |
Cover
Table of Contents:
- Preface; Contents; Acronyms; Synthesis Procedures; Notations and Symbols; List of Figures; List of Tables; Listings; Part I Basics of Fault Diagnosis; 1 Introduction; 1.1 Linear Synthesis Techniques for Fault Diagnosis; 1.2 Outline of the Book; 1.3 Notes and References; 2 Modelling Systems with Faults; 2.1 Types of Faults; 2.2 Plant Models with Additive Faults; 2.2.1 Models with Parametric Uncertainties; 2.2.2 Models with Parametric Faults; 2.2.3 Multiple Linear Models; 2.3 Physical Fault Models; 2.4 Notes and References; 3 Fault Diagnosis; 3.1 Basic Fault Monitoring Tasks.
- 3.2 Residual Generation3.3 Fault Detectability; 3.4 Fault Isolability; 3.5 Fault Detection and Isolation Problems; 3.5.1 Exact Fault Detection Problem; 3.5.2 Approximate Fault Detection Problem; 3.5.3 Exact Fault Detection and Isolation Problem; 3.5.4 Approximate Fault Detection and Isolation Problem; 3.5.5 Exact Model-Matching Problem; 3.5.6 Approximate Model-Matching Problem; 3.6 Threshold Selection; 3.7 Notes and References; 4 Model Detection; 4.1 Basic Model Detection Task; 4.2 Residual Generation ; 4.3 Model Detectability; 4.4 Model Detection Problems; 4.4.1 Exact Model Detection Problem.
- 4.4.2 Approximate Model Detection Problem4.5 Threshold Selection; 4.6 Notes and References; Part II Synthesis of Residual Generators; 5 Synthesis of Fault Detection and Isolation Filters; 5.1 Nullspace-Based Synthesis; 5.2 Solving the Exact Fault Detection Problem; 5.3 Solving the Approximate Fault Detection Problem; 5.4 Solving the Exact Fault Detection and Isolation Problem; 5.5 Solving the Approximate Fault Detection and Isolation Problem; 5.6 Solving the Exact Model-Matching Problem; 5.7 Solving the Approximate Model-Matching Problem; 5.8 Notes and References.
- 6 Synthesis of Model Detection Filters6.1 Nullspace-Based Synthesis; 6.2 Solving the Exact Model Detection Problem; 6.3 Solving the Approximate Model Detection Problem; 6.4 Notes and References; 7 Computational Issues; 7.1 Developing Satisfactory Numerical Algorithms; 7.2 Modelling Issues; 7.2.1 System Representations; 7.2.2 Model Conditioning; 7.3 Basic Procedural Framework; 7.4 Nullspace-Based Reduction; 7.5 Least-order Synthesis; 7.6 Coprime Factorization Techniques; 7.7 Outer
- Inner Factorizations; 7.8 Spectral Factorizations; 7.9 Linear Rational Equations.
- 7.10 Solution of Least Distance Problems7.11 Notes and References; 8 Case Studies; 8.1 Monitoring Flight Actuator Faults; 8.1.1 Nominal Synthesis; 8.1.2 Robust Synthesis Using Local Measurements; 8.1.3 Local Monitoring of Actuator Faults
- Industrial Aspects; 8.1.4 Linearized State-Space Models with Additive Actuator Faults; 8.2 Monitoring Air Data Sensor Faults; 8.2.1 Robust LTI FDI Filter Synthesis; 8.2.2 Robust LPV FDI Filter Synthesis; 8.2.3 Monitoring Air Data Sensor Faults
- Industrial Aspects; 8.2.4 Linearized State-Space Models with Additive Sensor Faults; 8.3 Notes and References.