Ebook: Issues of Fault Diagnosis for Dynamic Systems

Since the time our first book Fault Diagnosis in Dynamic Systems: The­ ory and Applications was published in 1989 by Prentice Hall, there has been a surge in interest in research and applications into reliable methods for diag­ nosing faults in complex systems. The first book sold more than 1,200 copies and has become the main text in fault diagnosis for dynamic systems. This book will follow on this excellent record by focusing on some of the advances in this subject, by introducing new concepts in research and new application topics. The work cannot provide an exhaustive discussion of all the recent research in fault diagnosis for dynamic systems, but nevertheless serves to sample some of the major issues. It has been valuable once again to have the co-operation of experts throughout the world working in industry, gov­ emment establishments and academic institutions in writing the individual chapters. Sometimes dynamical systems have associated numerical models available in state space or in frequency domain format. When model infor­ mation is available, the quantitative model-based approach to fault diagnosis can be taken, using the mathematical model to generate analytically redun­ dant alternatives to the measured signals. When this approach is used, it becomes important to try to understand the limitations of the mathematical models i. e. , the extent to which model parameter variations occur and the effect of changing the systems point of operation.

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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.

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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.
Content:
Front Matter....Pages I-XXV
Introduction....Pages 1-13
Integration of Fault Detection and Diagnosis Methods....Pages 15-49
Observability and Redundancy Decomposition Application to Diagnosis....Pages 51-85
Fault Detection and Isolation for Linear Systems Using Detection Observers....Pages 87-114
Fault Detection and Isolation for Descriptor Systems....Pages 115-144
Robust Observer-Based Fault Diagnosis in Non-Linear Uncertain Systems....Pages 145-187
Uncertainty Modelling and Robust Fault Diagnosis for Dynamic Systems....Pages 189-218
Reliability Models for Sensor Fault Detection with State-Estimator Schemes....Pages 219-244
A Structural Framework for the Design of FDI System in Large Scale Industrial Plants....Pages 245-283
Structured Parity Equations in Fault Detection and Isolation....Pages 285-313
Input Design for Change Detection....Pages 315-338
On-Line Detection and Diagnosis of Sensor and Process Faults in Nuclear Power Plants....Pages 339-377
Application of Sensor Fault Classification Algorithms to a Benson Steam Boiler....Pages 379-411
Detection of Events in Signals Via the Model-Based Fault Diagnosis Approach: Application to Bio-Electrical Signals....Pages 413-434
A Study on Fault-Tolerant Integrated Navigation Systems....Pages 435-460
A Hierarical Structure for On-Line Process Fault Diagnosis Based on Deep Qualitative Modelling....Pages 461-483
Fault Diagnosis Based on a Predicate Logic Description of Dynamical Systems....Pages 485-515
Monitoring and Diagnosis of Fermentation Processes....Pages 517-546
Process Monitoring and Fault Detection Using Multivariate SPC....Pages 547-565
Back Matter....Pages 567-597

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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.
Content:
Front Matter....Pages I-XXV
Introduction....Pages 1-13
Integration of Fault Detection and Diagnosis Methods....Pages 15-49
Observability and Redundancy Decomposition Application to Diagnosis....Pages 51-85
Fault Detection and Isolation for Linear Systems Using Detection Observers....Pages 87-114
Fault Detection and Isolation for Descriptor Systems....Pages 115-144
Robust Observer-Based Fault Diagnosis in Non-Linear Uncertain Systems....Pages 145-187
Uncertainty Modelling and Robust Fault Diagnosis for Dynamic Systems....Pages 189-218
Reliability Models for Sensor Fault Detection with State-Estimator Schemes....Pages 219-244
A Structural Framework for the Design of FDI System in Large Scale Industrial Plants....Pages 245-283
Structured Parity Equations in Fault Detection and Isolation....Pages 285-313
Input Design for Change Detection....Pages 315-338
On-Line Detection and Diagnosis of Sensor and Process Faults in Nuclear Power Plants....Pages 339-377
Application of Sensor Fault Classification Algorithms to a Benson Steam Boiler....Pages 379-411
Detection of Events in Signals Via the Model-Based Fault Diagnosis Approach: Application to Bio-Electrical Signals....Pages 413-434
A Study on Fault-Tolerant Integrated Navigation Systems....Pages 435-460
A Hierarical Structure for On-Line Process Fault Diagnosis Based on Deep Qualitative Modelling....Pages 461-483
Fault Diagnosis Based on a Predicate Logic Description of Dynamical Systems....Pages 485-515
Monitoring and Diagnosis of Fermentation Processes....Pages 517-546
Process Monitoring and Fault Detection Using Multivariate SPC....Pages 547-565
Back Matter....Pages 567-597
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