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Robust Model-Based Fault Diagnosis for Dynamic Systems

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TLDR
Robust Model-Based Fault Diagnosis for Dynamic Systems targets both newcomers who want to get into this subject, and experts who are concerned with fundamental issues and are also looking for inspiration for future research.
Abstract
There is an increasing demand for dynamic systems to become safer and more reliable This requirement extends beyond the normally accepted safety-critical systems such as nuclear reactors and aircraft, where safety is of paramount importance, to systems such as autonomous vehicles and process control systems where the system availability is vital It is clear that fault diagnosis is becoming an important subject in modern control theory and practice Robust Model-Based Fault Diagnosis for Dynamic Systems presents the subject of model-based fault diagnosis in a unified framework It contains many important topics and methods; however, total coverage and completeness is not the primary concern The book focuses on fundamental issues such as basic definitions, residual generation methods and the importance of robustness in model-based fault diagnosis approaches In this book, fault diagnosis concepts and methods are illustrated by either simple academic examples or practical applications The first two chapters are of tutorial value and provide a starting point for newcomers to this field The rest of the book presents the state of the art in model-based fault diagnosis by discussing many important robust approaches and their applications This will certainly appeal to experts in this field Robust Model-Based Fault Diagnosis for Dynamic Systems targets both newcomers who want to get into this subject, and experts who are concerned with fundamental issues and are also looking for inspiration for future research The book is useful for both researchers in academia and professional engineers in industry because both theory and applications are discussed Although this is a research monograph, it will be an important text for postgraduate research students world-wide The largest market, however, will be academics, libraries and practicing engineers and scientists throughout the world

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Citations
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Journal ArticleDOI

Bibliographical review on reconfigurable fault-tolerant control systems

TL;DR: A bibliographical review on reconfigurable fault-tolerant control systems (FTCS) is presented, with emphasis on the reconfiguring/restructurable controller design techniques.
Journal ArticleDOI

A Review of Process Fault Detection and Diagnosis Part I : Quantitative Model-Based Methods

TL;DR: This three part series of papers is to provide a systematic and comparative study of various diagnostic methods from different perspectives and broadly classify fault diagnosis methods into three general categories and review them in three parts.
Book

Model-based Fault Diagnosis Techniques: Design Schemes, Algorithms, and Tools

TL;DR: This book is to introduce basic model-based FDI schemes, advanced analysis and design algorithms and the needed mathematical and control theory tools at a level for graduate students and researchers as well as for engineers.
Journal ArticleDOI

A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches

TL;DR: The three-part survey paper aims to give a comprehensive review of real-time fault diagnosis and fault-tolerant control, with particular attention on the results reported in the last decade.
Journal ArticleDOI

Model-based fault-detection and diagnosis - status and applications §

TL;DR: In this article, the authors present a short introduction to the field and show some applications for an actuator, a passenger car, and a combustion engine, as well as other types of systems.
References
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An MMAE failure detection system for the F-16

TL;DR: In this article, a multiple model adaptive estimation (MMAE) algorithm is implemented with the fully nonlinear six-degree-of-motion, Simulation Rapid prototyping facility (SRF) VISTA F-16 software simulation tool.
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Robust detection filter design in the presence of time-varying system perturbations

TL;DR: By applying a time-invariant equivalent representation of the original time-varying system, it is possible to construct a detection filter such that the solution of the design problem can be solved using algebraic methods and geometric concepts similar to the case of time invariant situations.
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An introduction to sensor signal validation in redundant measurement systems

TL;DR: In this paper, the focus is on redundancy management in fault detection and isolation with the emphasis on the parity space, and a model of a multiply redundant measurement system is presented, where the generation of residuals is considered, and the concept of parity space is explained.
Journal ArticleDOI

Sensitivity Discriminating Observer Design for Instrument Failure Detection

TL;DR: In this paper, a procedure for the design of a pair of sensitivity discriminating Luenberger observers for instrument failure detection (IFD) is presented, which permits detection of instrument malfunctions with reduced sensitivity to process parameter variations.
Journal ArticleDOI

Optimal residual design for fault diagnosis using multi-objective optimization and genetic algorithms

TL;DR: A new approach to the design of optimal residuals in order to diagnose incipient faults based on multi-objective optimization and genetic algorithms is developed, and simulation results show that incipient sensor faults can be detected reliably in the presence of modelling uncertainty.