http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
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 detection and diagnosis has been the subject of ongoing research for the past few decades. While the theoretical aspects of fault diagnosis on the basis of linear models are well understood, most of the computational methods proposed for the synthesis of fault detection and isolation filters are not satisfactory from a numerical standpoint. Several features make this book unique in the fault detection literature: Solution of standard synthesis problems in the most general setting, for both continuous- and discrete-time systems, regardless of whether they are proper or not; consequently, the proposed synthesis procedures can solve a specific problem whenever a solution exists Emphasis on the best numerical algorithms to solve the synthesis problems for linear systems in generalized state-space form (also known as descriptor systems) Development of general synthesis procedures relying on new computational paradigms, such as factorization-based design based on filter updating techniques and nullspace-based synthesis Availability of a comprehensive set of free accompanying software tools for descriptor systems, which allows readers to easily implement all synthesis procedures presented in the book and ensures that all results are reproducible This book is primarily intended for researchers and advanced graduate students in the areas of fault diagnosis and fault-tolerant control. It will also appeal to mathematicians with an interest in control-oriented numerics.
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.
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Includes bibliographical references and index.
Solving Fault Diagnosis Problems : Linear Synthesis Techniques
Cham : Springer International Publishing, ©2017
Studies in systems, decision and control ; v. 84