Diagnosis and Fault-tolerant Control 1. Группа авторов

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      1  Cover

      2  Title page

      3  Copyright

      4  Introduction

      5  1 Mathematical Modeling and Fault Description 1.1. Introduction 1.2. Model-based FDI techniques 1.3. Modeling of faulty systems 1.4. Residual generation 1.5. Residual generation techniques 1.6. Change detection and symptom evaluation 1.7. Residual generation robustness problem 1.8. Fault diagnosis technique integration 1.9. Conclusion 1.10. References

      6  2 Structural Analysis 2.1. Introduction 2.2. Background 2.3. Fault isolability analysis 2.4. Testable submodels 2.5. Sensor placement 2.6. Summary and discussion 2.7. References

      7  3 Set-based Fault Detection and Isolation 3.1. Introduction 3.2. Notations, definitions and properties 3.3. Problem statement 3.4. Proposed techniques 3.5. Design methods 3.6. Fault detection and isolation procedures 3.7. Application example: quadruple-tank system 3.8. Conclusion 3.9. References

      8  4 Diagnosis of Stochastic Systems 4.1. Introduction 4.2. Stochastic diagnosis task 4.3. Inference methods for diagnosis task 4.4. Model-based approach 4.5. Data-driven approaches 4.6. Hybrid approaches: surrogate methods 4.7. Comparative analysis of approaches 4.8. Summary and conclusions 4.9. References

      9  5 Data-Driven Methods for Fault Diagnosis 5.1. Introduction 5.2. Models for linear system fault diagnosis 5.3. Parameter estimation methods for fault diagnosis 5.4. Nonlinear dynamic system identification 5.5. Fuzzy data-driven approach to fault diagnosis 5.6. Fuzzy model identification 5.7. Conclusion 5.8. References

      10  6 The Artificial Intelligence Approach to Model-based Diagnosis 6.1. Introduction 6.2. Case studies 6.3. Knowledge-based diagnosis systems 6.4. Model-based diagnosis 6.5. CBD for dynamic systems 6.6. Conclusion 6.7. References

      11  List of Authors

      12  Index

      13  Summary of Volume 2

      14  End User License Agreement

      1 IntroductionFigure I.1. Comparison between hardware and analytical redundancy schemesFigure СКАЧАТЬ