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Robust Model-Based Fault Diagnosis for Dynamic Systems
Jie Chen,Ron J. Patton +1 more
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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 worldread more
Citations
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Journal ArticleDOI
Fault detection of networked control systems with limited communication
TL;DR: A parity space based multi-solution FD scheme is proposed based on different information structures of the incomplete plant information, which proves that there is a tradeoff between fast FD and detection performance.
Journal ArticleDOI
Robust Model-Based Online Fault Detection for Mating Process of Electric Connectors in Robotic Wiring Harness Assembly Systems
TL;DR: A set-membership approach for static PWA systems is proposed, in which parallelotopic approximation of feasible parameter sets is adopted, and an online algorithm is obtained to estimate bounds of uncertain transition points of the PWA model.
Journal ArticleDOI
Integrated design of fault detection systems in time-frequency domain
TL;DR: An integrated design method of FD systems using the absolute value of residual signal as evaluation function is proposed, which leads to a residual generator which is much easier to be realized.
Proceedings ArticleDOI
Fault diagnosis and fault tolerant control methods for manned and unmanned helicopters: A literature review
TL;DR: An overview of the existing works on fault diagnosis, including analytical/model-based, signal processing-based and knowledge-based techniques, and passive/active fault tolerant control approaches for helicopters mainly with single rotor, is presented.
Proceedings ArticleDOI
Model-Based Actuator Fault Diagnosis in Multirotor UAVs *
Agus Hasan,Tor Arne Johansen +1 more
TL;DR: This paper presents actuator fault diagnosis for multirotor UAVs based on a cascade of a nonlinear Thau observer and a linearized Kalman filter and shows the proposed algorithm enables the system to detect, isolate, and estimate the magnitude of the faults.
References
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The approximation of one matrix by another of lower rank
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Paper: A survey of design methods for failure detection in dynamic systems
TL;DR: This paper surveys a number of methods for the detection of abrupt changes in stochastic dynamical systems, focusing on the class of linear systems, but the basic concepts carry over to other classes of systems.