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1.2. Closed-loop FDI systemFigure 1.3. The rearranged FDI schemeFigure 1.4. Monitored system and fault topologyFigure 1.5. The monitored system and fault typologyFigure 1.6. The structure of the plant sensorsFigure 1.7. Fault topology with actuator input signal measurementFigure 1.8. Residual generator general structureFigure 1.9. System simulator or output estimator for residual generationFigure 1.10. Transfer function residual generatorFigure 1.11. Parameter estimation Equation Error (EE)Figure 1.12. Parameter estimation Output Error (OE)Figure 1.13. State and output dynamic observerFigure 1.14. MIMO process with faults and noisesFigure 1.15. Process and output observerFigure 1.16. Parity equation methods: (a) EE and (b) OEFigure 1.17. Parity EE methods for a MIMO modelFigure 1.18. Neuro-fuzzy-based FDI schemeFigure 1.19. TSK NF-based FDI scheme

      3 Chapter 2Figure 2.1. A circuit view of the electric motor that will be used as a running ...Figure 2.2. Structural model of the electric motorFigure 2.3. Dulmage–Mendelsohn decomposition with over- and underdetermined part...Figure 2.4. Dulmage–Mendelsohn’s decomposition applied to variants of the electr...Figure 2.5. Diagnosis analysis results for the model in Figure 2.2. For a color ...Figure 2.6. Canonical decomposition of the overdetermined part of a modelFigure 2.7. Computational graphs for MSO set M3 with different residual equation...Figure 2.8. Model structure and Hasse diagram of the block partial order over th...Figure 2.9. Block structure of the example in section 2.5.1 extended with measur...

      4 Chapter 3Figure 3.1. Set-membership state estimationFigure 3.2. Interval observerFigure 3.3. The quadruple-tank systemFigure 3.4. Closed-loop data. For a color version of this figure, see www.iste.c...Figure 3.5. Residual intervals with the set-membership approach. For a color ver...Figure 3.6. Residual intervals with zonotopic Kalman observer. For a color versi...Figure 3.7. Residual intervals with zonotopic observer considering only robustne...Figure 3.8. Residual intervals with zonotopic observer considering both robustne...

      5 Chapter 4Figure 4.1. Hierarchy of methods examined. For a color version of this figure, s...Figure 4.2. Architecture of observer-based approach. For a color version of this...

      6 Chapter 5Figure 5.1. PPCRE criterion for different ARX model orders kFigure 5.2. Mean square error criterion for different ARX model orders kFigure 5.3. Noise space and singularity surfacesFigure 5.4. Two–dimensional space partition example

Figure 5.5. Prism triangulation exampleFigure 5.6. Singularity curve exampleFigure 5.7. Singularity curve exampleFigure 5.8. Singularity curves exampleFigure 5.9. Fuzzy model diagramFigure 5.10. Fuzzy clustering phases

      7 Chapter 6Figure 6.1. The full adder (source: Reiter 1987)Figure 6.2. The three-tank system (source: Escobet et al. 2019)Figure 6.3. Simple KBS architectureFigure 6.4. Example of a MYCIN production rule rewritten in the form of natural ...Figure 6.5. Heuristic classification (from Clancey 1985)Figure 6.6. Heuristic classification in MYCIN (adapted from Clancey 1985)Figure 6.7. MYCIN production rule for the heuristic model of Figure 6.6

      List of Tables

      1 IntroductionTable I.1. FDI applications and number of contributionsTable I.2. Fault type and number of contributionsTable I.3. FDI methods and number of contributionsTable I.4. Residual evaluation methods and number of contributionsTable I.5. Reasoning strategies and number of contributionsTable I.6. Applications of model-based fault detection

      2 Chapter 4Table 4.1. Notation used in the chapter

      3 Chapter 6Table 6.1. Set of Minimal Evaluable Chains for the three-tank system. Only three...

      Guide

      1  Cover

      2  Table of Contents

      3  Title page

      4  Copyright

      5  Introduction

      6  Begin Reading

      7  Index

      8  End User License Agreement

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