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Issues of Fault Diagnosis for Dynamic Systems
Synopses & Reviews
There is an increasing demand for dynamic systems to become safer, more reliable and more economical in operation. This requirement extends beyond the normally accepted safety-critical systems e.g., nuclear reactors, aircraft and many chemical processes, to systems such as autonomous vehicles and some process control systems where the system availability is vital. The field of fault diagnosis for dynamic systems (including fault detection and isolation) has become an important topic of research. Many applications of qualitative and quantitative modelling, statistical processing and neural networks are now being planned and developed in complex engineering systems. Issues of Fault Diagnosis for Dynamic Systems has been prepared by experts in fault detection and isolation (FDI) and fault diagnosis with wide ranging experience. Subjects featured include: - Real plant application studies; - Non-linear observer methods; - Robust approaches to FDI; - The use of parity equations; - Statistical process monitoring; - Qualitative modelling for diagnosis; - Parameter estimation approaches to FDI; - Fault diagnosis for descriptor systems; - FDI in inertial navigation; - Stuctured approaches to FDI; - Change detection methods; - Bio-medical studies. Researchers and industrial experts will appreciate the combination of practical issues and mathematical theory with many examples. Control engineers will profit from the application studies.
Includes bibliographical references (p. -594) and index.
Table of Contents
Introduction.- Integration of Fault Detection and Diagnosis Methods.- Observability and Redundancy Decomposition Application to Diagnosis.- Fault Detection and Isolation for Linear Systems Using Detection Observers.- Fault Detection and Isolation for Descriptor Systems.- Robust Observer-based Fault Diagnosis in Non-linear Uncertain Systems.- Uncertainty Modelling and Robust Fault Diagnosis for Dynamic Systems.- Reliability Models for Sensor Fault Detection with State Estimator Schemes.- A Structural Framework for the Design of FDI System in Large Scale Industrial Plants.- Structured Parity Equations in Fault Detection and Isolation.- Input Design for Change Detection.- On-line Detection and Diagnosis of Sensor and Process Faults in Nuclear Power Plants.- Application of Sensor Fault Classification Algorithms to a Benson Steam Boiler.- Detection of Events in Signals via the Model-based Fault Diagnosis Approach: Application to Bio-electrical Signals.- A Study of Fault Tolerant Integrated Navigation Systems.- A Hierarchical Structure for On-line Process Fault Diagnosis Based on Deep Qualitative Modelling.- Fault Diagnosis Based on a Predicate Logic Description of Dynamical Systems.- Monitoring and Diagnosis of Fermentation Processes.- Process Monitoring and Fault Detection Using Multivariate SPC.- References.
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