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

Guaranteeing a high system performance over a wide operating range is an important issue surrounding the design of automatic control systems with successively increasing complexity. As a key technology in the search for a solution, advanced fault detection and identification (FDI) is receiving considerable attention. This book introduces basic model-based FDI schemes, advanced analysis and design algorithms, and mathematical and control-theoretic tools.
This second edition of Model-Based Fault Diagnosis Techniques contains:
• new material on fault isolation and identification and alarm management;
• extended and revised treatment of systematic threshold determination for systems with both deterministic unknown inputs and stochastic noises;
• addition of the continuously-stirred tank heater as a representative process-industrial benchmark; and
• enhanced discussion of residual evaluation which now deals with stochastic processes.
Model-based Fault Diagnosis Techniques will interest academic researchers working in fault identification and diagnosis and as a text it is suitable for graduate students in a formal university-based course or as a self-study aid for practising engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering.

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Guaranteeing a high system performance over a wide operating range is an important issue surrounding the design of automatic control systems with successively increasing complexity. As a key technology in the search for a solution, advanced fault detection and identification (FDI) is receiving considerable attention. This book introduces basic model-based FDI schemes, advanced analysis and design algorithms, and mathematical and control-theoretic tools.

This second edition of Model-Based Fault Diagnosis Techniques contains:

· new material on fault isolation and identification, and fault detection in feedback control loops;

· extended and revised treatment of systematic threshold determination for systems with both deterministic unknown inputs and stochastic noises;

• addition of the continuously-stirred tank heater as a representative process-industrial benchmark; and

  · enhanced discussion of residual evaluation in stochastic processes.

  Model-based Fault Diagnosis Techniques will interest academic researchers working in fault detection and diagnosis and as a textbook it is suitable for graduate students in a formal university-based course or as a self-study aid for practicing engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering.

  Model-based Fault Diagnosis Techniques will interest academic researchers working in fault detection and diagnosis and as a textbook it is suitable for graduate students in a formal university-based course or as a self-study aid for practicing engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering.

· enhanced discussion of residual evaluation in stochastic processes.

Model-based Fault Diagnosis Techniques will interest academic researchers working in fault detection and diagnosis and as a textbook it is suitable for graduate students in a formal university-based course or as a self-study aid for practicing engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering.

Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

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Guaranteeing a high system performance over a wide operating range is an important issue surrounding the design of automatic control systems with successively increasing complexity. As a key technology in the search for a solution, advanced fault detection and identification (FDI) is receiving considerable attention. This book introduces basic model-based FDI schemes, advanced analysis and design algorithms, and mathematical and control-theoretic tools.

This second edition of Model-Based Fault Diagnosis Techniques contains:

· new material on fault isolation and identification, and fault detection in feedback control loops;

· extended and revised treatment of systematic threshold determination for systems with both deterministic unknown inputs and stochastic noises;

• addition of the continuously-stirred tank heater as a representative process-industrial benchmark; and

  · enhanced discussion of residual evaluation in stochastic processes.

  Model-based Fault Diagnosis Techniques will interest academic researchers working in fault detection and diagnosis and as a textbook it is suitable for graduate students in a formal university-based course or as a self-study aid for practicing engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering.

  Model-based Fault Diagnosis Techniques will interest academic researchers working in fault detection and diagnosis and as a textbook it is suitable for graduate students in a formal university-based course or as a self-study aid for practicing engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering.

· enhanced discussion of residual evaluation in stochastic processes.

Model-based Fault Diagnosis Techniques will interest academic researchers working in fault detection and diagnosis and as a textbook it is suitable for graduate students in a formal university-based course or as a self-study aid for practicing engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering.

Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Content:
Front Matter....Pages I-XX
Front Matter....Pages 1-1
Introduction....Pages 3-11
Basic Ideas, Major Issues and Tools in the Observer-Based FDI Framework....Pages 13-19
Modelling of Technical Systems....Pages 21-50
Fault Detectability, Isolability and Identifiability....Pages 51-68
Front Matter....Pages 69-69
Basic Residual Generation Methods....Pages 71-116
Perfect Unknown Input Decoupling....Pages 117-161
Residual Generation with Enhanced Robustness Against Unknown Inputs....Pages 163-247
Residual Generation with Enhanced Robustness Against Model Uncertainties....Pages 249-281
Front Matter....Pages 283-283
Norm-Based Residual Evaluation and Threshold Computation....Pages 285-313
Statistical Methods Based Residual Evaluation and Threshold Setting....Pages 315-338
Integration of Norm-Based and Statistical Methods....Pages 339-366
Front Matter....Pages 367-367
Integrated Design of Fault Detection Systems....Pages 369-403
Fault Isolation Schemes....Pages 405-440
Fault Identification Schemes....Pages 441-469
Fault Diagnosis in Feedback Control Systems and Fault-Tolerant Architecture....Pages 471-489
Back Matter....Pages 491-501

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Guaranteeing a high system performance over a wide operating range is an important issue surrounding the design of automatic control systems with successively increasing complexity. As a key technology in the search for a solution, advanced fault detection and identification (FDI) is receiving considerable attention. This book introduces basic model-based FDI schemes, advanced analysis and design algorithms, and mathematical and control-theoretic tools.

This second edition of Model-Based Fault Diagnosis Techniques contains:

· new material on fault isolation and identification, and fault detection in feedback control loops;

· extended and revised treatment of systematic threshold determination for systems with both deterministic unknown inputs and stochastic noises;

• addition of the continuously-stirred tank heater as a representative process-industrial benchmark; and

  · enhanced discussion of residual evaluation in stochastic processes.

  Model-based Fault Diagnosis Techniques will interest academic researchers working in fault detection and diagnosis and as a textbook it is suitable for graduate students in a formal university-based course or as a self-study aid for practicing engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering.

  Model-based Fault Diagnosis Techniques will interest academic researchers working in fault detection and diagnosis and as a textbook it is suitable for graduate students in a formal university-based course or as a self-study aid for practicing engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering.

· enhanced discussion of residual evaluation in stochastic processes.

Model-based Fault Diagnosis Techniques will interest academic researchers working in fault detection and diagnosis and as a textbook it is suitable for graduate students in a formal university-based course or as a self-study aid for practicing engineers working with automatic control or mechatronic systems from backgrounds as diverse as chemical process and power engineering.

Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Content:
Front Matter....Pages I-XX
Front Matter....Pages 1-1
Introduction....Pages 3-11
Basic Ideas, Major Issues and Tools in the Observer-Based FDI Framework....Pages 13-19
Modelling of Technical Systems....Pages 21-50
Fault Detectability, Isolability and Identifiability....Pages 51-68
Front Matter....Pages 69-69
Basic Residual Generation Methods....Pages 71-116
Perfect Unknown Input Decoupling....Pages 117-161
Residual Generation with Enhanced Robustness Against Unknown Inputs....Pages 163-247
Residual Generation with Enhanced Robustness Against Model Uncertainties....Pages 249-281
Front Matter....Pages 283-283
Norm-Based Residual Evaluation and Threshold Computation....Pages 285-313
Statistical Methods Based Residual Evaluation and Threshold Setting....Pages 315-338
Integration of Norm-Based and Statistical Methods....Pages 339-366
Front Matter....Pages 367-367
Integrated Design of Fault Detection Systems....Pages 369-403
Fault Isolation Schemes....Pages 405-440
Fault Identification Schemes....Pages 441-469
Fault Diagnosis in Feedback Control Systems and Fault-Tolerant Architecture....Pages 471-489
Back Matter....Pages 491-501
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